JR 3592
---

**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

MAUI 

8005 - MAUI 

**Who We Want**
Have you always excelled at building technology solutions? Do you enjoy working on new products and ideas that help people and society stay connected? Are you the type that can juggle several projects at once, using your skill and experience to make all of them successful? Do you have extensive experience and consistently demonstrate a ++high level of proficiency++ as a “**Jack of all trades**” in creative graphic design, front-end page development, and middle-tier software engineering? If yes, then we want you.
We need talented engineers to join our engineering team in moving our technology and products to the next level. Help us provide our users with innovative products and services. An ideal candidate will be excited to be in a smaller company that moves at a fast pace on a constant flow of ideas, be able to wear multiple hats as needed, and have the drive to exceed expectations. The Software Engineer will report to the VP of Product Development.
**Essential Duties & Responsibilities**
- Primary      Duty: Work on new projects and enhancements for our web properties.
- Develop      HTML/XHTML, CSS, JavaScript, and ASP.NET/C# for web sites.
- Develop      graphics and build designs to pixel-perfect accuracy, with cross-browser      compatibility.
- Problem-solve      on your own, and work collaboratively with others, to meet the needs of projects.
- Take      initiative to learn about the technology and systems.
- Possess      strong written and verbal communication skills.

**Qualifications & Skills**
- BS      in Computer Science, Information Systems, or equivalent.
- Several      years of software development experience at an e-commerce company.
- Several      years doing creative web design, graphic web production, and web      development.
- Strong      object-oriented design principles, and experience programming in ASP and      ASP.NET/C#.
- Knowledge      in web protocols, such as HTTP/HTTPS, FTP, etc.
- Ideal      candidate will have 2+ years of experience using Vue.js, Vuex, Webpack,      and Bootstrap.
- Experience      building web applications that consume REST APIs.
- Strong      knowledge of ES6 features, asynchronous and modular programming required.
- Knowledge      of browser compatibility issues; ability to build standards-compliant web      code.
- Experience      with source control systems such as Git and Subversion.
- Must      have high aptitude in triaging problems, identifying options, and choosing      optimal solutions.
- Strong      knowledge of web standards, technologies, and solutions.
- Understanding      of project lifecycles and development methodologies.
- Experience      in automating routine tasks, with scheduled jobs or scripts, is a plus.

Vue.js JavaScript

8003 - Vue.js JavaScript

We are looking for talented fullstack software engineers to join our team and help us implement a grand user experience for our customers. We are building the next generation of our customer facing web applications using the latest cutting edge technologies and agile development methodologies. We want a curious, proactive, energetic, and passionate individual who embraces challenges and is a proven problem solver. The ideal candidate will be a mid-level engineer with a solid foundation in modern software development practices, including serverless technologies, micro-frontends, and microservices. The successful candidate will be responsible for designing and developing complex applications using a range of technologies and frameworks, including VueJS, ExpressJS, Spring, Hibernate, Python, Postgres, DynamoDB, etc.

**Key Responsibilities**
- Design, develop, and maintain scalable applications using modern software development practices.
- Collaborate with cross-functional teams to gather requirements and ensure successful project delivery.
- Design and develop workflows, reusable components, UI widgets, data visualization, and secure APIs consumed by the application's front-end.
- Create and maintain data models and database schemas.
- Troubleshoot and debug issues within the application.
- Participate in code reviews and ensure high code quality.
- Keep up-to-date with emerging trends and technologies in software development.
- Work independently and with minimal oversight to develop software that conforms to high standards of security, quality, performance, resiliency, and compliance.

**Qualifications**
- 3+ years of Software Development Experience in full-stack development using technologies and frameworks such as VueJS, ExpressJS, Spring, Hibernate, Python, Postgres, DynamoDB, etc.
- Solid experience in modern software development practices, including serverless, micro-frontends, and microservices.
- Proficient in database design, SQL, and ORMs.
- Experience with containerization technologies like Docker and Kubernetes.
- Strong understanding of RESTful API design principles.
- Strong problem-solving skills and ability to work independently and as part of a team.
- Excellent verbal and written communication skills.
- Proven capability to work on a remote team.

**Education:**
- Bachelor's degree in Computer Science, Software Engineering, or a related field.

**Preferred Qualifications**
- Certifications in AWS cloud developer, architect, etc.
- Experience with running and using Continuous Integration and Continuous Delivery pipelines.
- Experience with Jest, Cypress, Linting, Babel, Vite, and WebPack.
- Working knowledge of Atlassian tools – Jira, Confluence, bitbucket.
- Knowledge of UI/UX concepts and best practices.

**What You Can Expect From Us:**
- A dynamic environment where you will be working on cutting edge technologies and architectures.
- A fun, passionate and collaborative workplace with plenty of opportunities for growth and development.

8002 - Vue.js JavaScript

We are looking for a talented QA Automation engineer to join our team and help us automate and test our building management system for the AWS cloud & infrastructure products. As a member of the QA team, you’ll be working closely with the development, Marketing and SaaSOps team members. You will be responsible for architecting cloud-based automated test scripts and will need to be proficient in pipeline testing automation inside of containers and as linux scripts. You will be responsible for designing, building, reviewing, testing, debugging and troubleshooting code in a talented and highly collaborative environment. You will be working with Docker and other container technologies along with Linux Operating systems.

Responsibilities:
- Perform manual and automated test routines on development, staging and production environments
- Develop and document test procedure for use across the QA and Engineering team
- Document application use procedures and deliver to worldwide team
- Troubleshoot expansive and complex AWS infrastructure
- Passion for solving challenging issues
- Escalate key decisions, issues, risks, and opportunities to achieve project objectives
- Represent projects at required internal meetings to make sure that priorities are clear and any progress/delays/issues are reported
- Contributing member for roll-out and testing of software releases
- Support and contribute on various project activities, including SCRUM meetings, project plan updates, internal communication, tracking progress of tasks, and follow-up
- Document activity and coordinate via Project Management systems
- Proactively identify risks, opportunities, and issues to verify that the highest level of customer satisfaction is achieved

Requirements:
- Analytical problem-solving mindset
- Excellent technical communication skills (verbal, written) for range of audience (low-tech to high-tech)
- Present information to worldwide development groups
- Be able to both lead and take direction as an effective team player
- Exceptional organizational skills
- Proficiency with standard office and project management software
- Minimum 3 years of related professional experience
- Proven capability to work on a remote team
- Knowledgeable AGILE methodology a MUST
- Excels at coordinating efforts via Jira and the Atlassian family of products

Preferred Requirements:
- 4+ years Maven experience.
- 3+ years Selenium experience
- Bitbucket Pipelines
- AWS Certifications.

SDET QA Automation

8000 - SDET QA Automation

**The impact you'll make:**
- The right candidate will be working with the existing Unosquare team on upskilling, continuous learning in Ruby while contributing at the code level
- Contribute to mission-critical services that power online ordering for thousands of cannabis storefronts and delivery services
- Build integrations with other industry partners.
- Build APIs to enhance the consumer & dispensary eCommerce experience
- Take ownership of significant initiatives and drive them from development through completion
- Collaborate closely with Design, QA, Product, EM, and fellow developers to define and scope initiatives by balancing risks, constraints, and speed to market
- Cultivate a sense of customer empathy to continue building an exceptional product
- Identify opportunities for improvement to our engineering and business processes as we scale our engineering teams and the overall organization

**What you've accomplished:**
- Bachelor's Degree in Computer Science or equivalent degree/work experience
- 3+ years of working experience in Ruby on Rails
- Effective communication skills, a positive attitude, and the ability to give and receive constructive feedback through mentoring, pair programming sessions, and code reviews
- Proven ability to influence cross-functional stakeholders
- Minimum of 3+ years of software development experience at mid/big sized companies
- Professional experience coding backend applications in a production environment
- Professional experience developing large, scalable backend applications
- Developed an understanding of system architecture and design; with consideration given to security, performance, scalability, and handling of personally identifiable information
- Owned the technical design of significant features or projects and can articulate the reasoning behind trade-offs made in your designs
- Experience building internal and external APIs with proper documentation and versioning strategies that avoid breaking changes whenever possible
- Experience with SQL databases such as MySQL, Postgres, or SQL Server
- Experience adding telemetry, alerting, and monitoring to services
- Love taking on the challenge of learning new technologies
- Self-starter attitude with a disciplined work ethic

**Bonus points:**
- Experience in a functional programming language
- Experience with frontend frameworks such as React or Next.js
- Experience with mobile development, Android and iOS
- Subject matter expert in specific verticals, i.e., Payments, Logistics, E-Commerce
- Experience with our runtime environments and tools: Kubernetes, DataDog, PagerDuty, Honeybadger, CodeFresh

Ruby Ruby

7998 - Ruby Ruby

7997 - Ruby Ruby

# Data Engineer
**Position Overview:**  The Data Engineer (DE) is responsible for designing, building, and maintaining data infrastructure and systems that enable efficient processing and analysis of large and complex datasets for use by our business stakeholders, data analysts, and for use in our end user-facing products. The ideal candidate will have a strong background in data modeling, as well as experience with data warehousing and ELT (Extract, Load, Transform) processes. As a member of the Data Engineering team within our Data & AI Unit, the DE is situated in a central service role with high cross-functional engagement and impacts across all divisions of our organization. As we pursue a strategy of enhancing its value to organizational leaders and business learners through new forms of engagement and interactive product experiences, the DE will play a critical role in interfacing with product engineers, data scientists, and AI developers to enable their work.
**Position Responsibilities:**
- **Lead the full development life cycle** including requirements analysis, technical specification, coding, deployment planning, and production support -- serving as both a hands‑on engineer and coordinator of vendor partners.
- **Design, build, and maintain scalable data pipelines** that meet reliability, security, and performance standards.
- **Partner with analytics, data‑science, and business teams** to ingest data and evolve data models that power BI dashboards, advanced analytics, AI/ML models, and SaaS applications.
- **Secure executive and technical alignment**of data‑engineering architecture and solutions, engaging with the CIO, technical directors, solution architects, and business‑unit leaders.
- **Deliver clear, timely technical artifacts** including system overviews, data‑flow diagrams, stack diagrams, and runbooks to support decision‑making and future maintenance.
- **Balance supportability, flexibility, cost, and performance** when evaluating design options and making architectural decisions.
- **Stay forward‑looking**, ensuring all solutions align with enterprise IT strategy and scalability goals.
- **Transition projects smoothly to operations**, providing comprehensive documentation and knowledge transfer to support teams.

The work will focus on two key streams:
- **Ingestion of new data sources into Snowflake**
- **Refactoring existing processes** to align with our medallion architecture and standard toolset (Fivetran/Snowflake/DBT)

**Position Requirements:**
- **Education:** Bachelor's degree in computer science, engineering, or a related discipline.
- **Experience**: Extensive experience in data engineering (or closely related field) delivering production-grade pipelines and data platforms, at least 5 years.
- **Data Pipelines:** Proven ability to design, build, and operate high‑volume ELT/ETL pipelines that ingest, process, and transform data from diverse sources.
- **SQL Mastery:** Proven ability to write highly efficient, production‑grade Snowflake SQL that aligns to DBT SQL standards.  Experience with Snowflake SQL Analytics functions to support complex reporting and data science use cases.
- **dbt Expertise:** Develop modular, well‑tested dbt models; implement tests and documentation; enforce coding standards via CI/CD.
- **Data Modeling & Warehousing:** Hands‑on experience designing schemas and maintaining data warehouses / marts on Snowflake (or similar cloud platforms).
- **Data Quality & Governance:**Implement frameworks that ensure accuracy, completeness, consistency, and lineage of critical datasets.
- **Collaboration:** Excellent communication and stakeholder‑management skills; ability to translate business requirements into technical solutions.
- **Analytical Thinking:** Demonstrated strength in evaluating trade‑offs (supportability, cost, performance, flexibility) and recommending optimal designs.
- **Operations & Support:** Monitor pipelines, diagnose issues, and provide on‑call / production support with strong root‑cause analysis.
- **Programming:** Proficiency in python programming

**Preferred/Nice to Have**
- **Snowflake Snowpark Container Services**: Practical experience developing, training, and deploying machine‑learning models inside Snowflake using Snowpark Container Services.
- **AWS Ecosystem:** Hands‑on work with core services such as Amazon S3 for data‑lake integration, as well as IAM, Lambda, and related components for secure storage, orchestration, and automation.
- **ML Ops:**  Experience with ML models requirements gathering development, deployment and production support in Snowflake and AWS

Data Engineer Data

7994 - Data Engineer Data

**JR2748**
**---**
**About This Job**
Designs, develops, and maintains data pipelines and ETL workflows. Collaborates with senior data engineers to optimize data systems and improve data quality. Learns and applies new technologies to support data infrastructure.
- Assisting in creating a data pipeline and identifying and implementing opportunities to automate tasks and create reusable frameworks.
- Collaborating with the stakeholders to support data infrastructure requirements while assisting with data-related technical issues.
- Combining and organizing raw data from multiple sources, performing complex data analysis, and interpreting trends and patterns.
- Supporting research opportunities for new data source acquisition and integration and recommending ways to improve data reliability, efficiency, and quality.
- Assists in designing and implementing data pipelines.
- Conducts data quality checks and ensures data accuracy.
- Collaborates with team members to troubleshoot data issues.
- Learns and applies new data engineering skills and technologies.

**Skill:**
- **SQL Server**
- **SSIS**
- **ETL**
- **FiveTran**
- **Python**
- **C# (Nice to have)**

7992 - Data Engineer Data

**Client Overview:**client is a biotechnology company that develops comprehensive genomic profiling tests based on next-generation sequencing technology to analyze the genetic mutations driving various cancers, including solid tumors, blood cancers, and sarcomas. Their tests help guide personalized cancer treatment decisions by identifying genetic targets for therapies, aiming to make genomic profiling the standard of care and supporting the development of new cancer treatments. The company operates as a Roche subsidiary and has a large genomic database to support research and clinical use.

**Position Overview:**
- Experience with qTest or similar test management tools for traceability and execution reporting.
- Exposure to automated tests for APIs and regression testing frameworks (Java, Node.js, etc.).
- Strong understanding of manual testing frameworks, including test data strategy and execution planning.
- Ability to work with JSON-based data flows, especially in CRM and API validation contexts.
- Familiarity with Postgres in cloud-hosted environments or any other SQL engine.

**Preferred Qualifications:**
- Familiarity with regulatory compliance in software validation (e.g., deviation justification, qualified utilities).
- Knowledge of release governance for hotfixes vs. patches, including documentation workflows.
- Experience in System Integration Testing (SIT) and scenario-based validation.
- Experience collaborating with cross-functional teams across time zones and regulatory domains.

**Work Schedule & Time Zone Considerations:**The team operates primarily in the US Eastern Time Zone. Candidates located in Central Time should be mindful that it is likely that adjusting their schedules to align more with Eastern Time working hours may be a potential request, which may require starting the day slightly earlier.

7989 - QA

ACI Base24-eps 

7985 - ACI Base24-eps 

We seek a **Cloud Infrastructure Engineer** to help shape and scale our cloud environment through standardised, automated, and secure patterns. You will be key in designing and implementing reusable infrastructure frameworks that accelerate delivery, ensure operational excellence, and promote best practices across our engineering teams and multiple cloud providers.

**What You Will Do:**
- Design, implement, and maintain scalable cloud infrastructure patterns and templates (e.g., reusable Terraform module).
- Standardised and optimised deployment automation using Octopus Deploy and Azure DevOps for infrastructure and application releases.
- Develop Infrastructure as Code (IaC) libraries to ensure consistent, compliant, and scalable environments across multiple cloud providers.
- Collaborate with scrum teams and TechOps teams through Jira to prioritise and implement infrastructure solutions early in the development lifecycle.
- Drive the adoption of cloud governance policies, security standards, and architectural best practices across multiple cloud providers.
- Continuously evolve infrastructure patterns to support operational resilience, performance optimisation, and cost efficiency.
- Document infrastructure blueprints, standard operating procedures, and reusable patterns to empower team self-service and accelerate delivery.
- Support incident troubleshooting and root cause analysis to drive systemic improvements and platform reliability.
- Participate in cloud governance reviews, security audits, and compliance initiatives.
- Act as a technical consultant and advocate for best practices across engineering, operations, and product teams.

**Essential Knowledge / Experience:**
- At least three years of experience as a Cloud Infrastructure Engineer, Cloud Platform Engineer, or similar role.
- Strong experience designing and implementing infrastructure in Azure & AWS.
- Deep expertise with Infrastructure as Code (IaC) using Terraform.
- Hands-on experience with Octopus Deploy and Azure DevOps to support infrastructure and software deployment pipelines.
- Strong Windows OS management skills in cloud environments; experience with Linux is a plus.
- Proficient in scripting languages like PowerShell, with experience automating operational workflows.
- Understanding cloud security principles, identity, and access management (IAM), and network security practices.
- Experience using Azure DevOps to manage technical deliverables, track work, and collaborate with product and engineering teams.
- Understanding application architectures and CI/CD workflows to ensure tight alignment with infrastructure services.
- Excellent analytical, problem-solving, and communication skills.
- A consultative approach to collaboration; able to influence teams and drive adoption of best practices without direct authority.

**Additional Information**
- Participation in an on-call rotation is required to support critical infrastructure services.
- Opportunities for professional growth, including certifications in Azure, AWS, and DevOps practices.
- Work in a global, fast-paced environment that encourages innovation, ownership, and continuous learning.

Additional info following 10/22/25 call with **Chih-Wei Tsai:**

## Role Requirements
- Urgency to fill the position quickly
- Hard skills needed:
Expert in Azure, especially DevOps and deployment
Strong experience with YAML pipelines
Proficient with Terraform
Experience with Octopus Deploy for configuration management
Ability to stand up Databricks workspace and deploy code
Create pipelines for Azure container apps (C# or Angular)
Deploy and manage Click ingestion tool for CDC from SQL Server to Databricks
- Soft skills needed:
Able to work independently, embedded in the data team
Comfortable working across teams, especially with internal DevOps
Proactive in solving problems, not waiting for direction
Senior, experienced with navigating team dynamics and cross-team requirements
Willing to push boundaries and find ways around blockers

DevOps Cloud, Infrastructure and ITOps

7982 - DevOps Cloud, Infrastructure and ITOps

**JR3321**
**--**

**About This Job**
Designs, develops, and maintains data architecture, data pipelines, and data warehousing systems. Implements ETL processes, data modeling, and database design. Collaborates with cross-functional teams to ensure data accuracy and availability.
- Administering and testing the reliability of the data systems; monitoring the performance and stability of the systems as the requirements change.
- Configuring and validating the data sources; developing and improvising the integration and analytical tools for efficient data procurement and analysis.
- Creating and managing the architecture of the data platform and data modelling by evaluating the business needs and objectives.
- Utilizing niche tools to view and visualize the generated data to support business intelligence and data-driven solutions; maintaining compliance with SLAs, data governance, and security policies.
- Designs and implements complex data pipelines.
- Develops and maintains data warehousing solutions.
- Collaborates with cross-functional teams to identify and solve data-related problems.
- Ensures data quality and integrity across all systems.

**Skill:**
- **SQL Server**
- **SSIS**
- **ETL**
- **FiveTran**
- **Python**
- **C# (Nice to have)**

7975 - Data Engineer Data

**JR3539**
**--**

**About This Job**
Designs, develops, and maintains software applications. Leads a team of developers, provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
- Develops complex software components. Provides team and project leadership for software development activities.
- Develops interfaces and drivers for hardware devices, software platforms and data exchange.
- Advises developers on best methods of software development and code creation.
- Monitors and modifies development work to make sure resulting software meets established goals.
- Tests and debugs software to ensure high-quality and error-free products.
- Collaborates with cross-functional teams to identify and resolve software issues.

**Skill:**
- **SQL Server**
- **SSIS**
- **ETL**
- **FiveTran**
- **Python**
- **C# (Nice to have)**




7974 - Data Engineer Data

### **Senior Full-Stack Engineer (React / .NET)**
**Overview:**
We are seeking a **Senior Full-Stack Engineer** with strong expertise in **React** and hands-on experience with **.NET** on the backend. The ideal candidate is a proactive problem solver who writes clean, maintainable code and collaborates effectively with cross-functional teams to deliver scalable, high-quality applications.
**Responsibilities:**
- Design, develop, and maintain web applications using **React** (TypeScript preferred).
- Implement backend services and APIs using **.NET Core**.
- Collaborate with UI/UX designers and backend developers to ensure seamless integration.
- Participate in code reviews, architectural discussions, and sprint planning.
- Optimize performance, scalability, and maintainability of both frontend and backend components.
- Write unit and integration tests to ensure software quality.
- Stay up to date with emerging technologies and recommend improvements.

**Required Skills & Qualifications:**
- 5+ years of professional software development experience.
- 3+ years of experience with **React.js** and modern JavaScript/TypeScript.
- Working knowledge of **.NET Core / C#** for backend development.
- Experience consuming and designing RESTful APIs.
- Solid understanding of version control (Git), CI/CD, and agile development practices.
- Strong communication and collaboration skills.

**Nice to Have:**
- Experience with cloud platforms (Azure, AWS, or GCP).
- Familiarity with relational databases (SQL Server, PostgreSQL, etc.).
- Knowledge of modern frontend tooling (Webpack, Vite, or similar).

React JavaScript

7970 - React JavaScript

Full Stack Web Developer

Position Overview:

We are looking for a Full Stack Web Developer to join our high performing engineering team that focuses on our award winning and industry leading media and learning products. You will work on an agile, outcomes-driven team and act as a trusted partner to the product owner and agile project manager. Reporting to the Director of Engineering, you will be developing world-class software that helps hundreds of thousands of learners improve their work life every day.

Position Responsibilities:
· Develop high-quality software design and architecture
· Identify, prioritize, and execute tasks in the software development life cycle
· Develop tools and applications by producing clean, efficient code
· Work cross-functionally to drive impact across the SDLC, collaborating with product managers to clarify requirements and break down work, reviewing code written by others, assisting with design for testability, and using data to drive decisions
· Contribute to the software engineering body of knowledge
· Ensure software is up to date with the latest technologies

Position Requirements:
· Full-Stack experience. 
· 3+ years of experience developing **React** applications. 
· Experience in developing distributed web applications using **Java** 8/11/21 platform and frameworks such as Spring/Spring Boot and Hibernate.
· Experience building applications that conform to high standards for security and data privacy
· Experience with Writing cross-browser HTML, CSS, and TypeScript
· Experience with React-based frameworks/libraries
· Writing unit tests (Jest, React Testing Library)
· CSS preprocessors (Sass, Less)
· Developing accessible and responsive web pages
· Front-end tooling (Webpack, ESLint, NPM)
· Content Management Systems (CMS) integrations
· Working experience with relational databases (e.g., MySQL, Aurora)
· Working experience in developing RESTful APIs and application of microservices architecture
· Analytical mind with problem-solving aptitude
· Experience developing applications on AWS cloud and good knowledge of various AWS services (e.g., Cloudfront, Beanstalk, Lambda, S3, SQS, SNS, ECS/ECR)
· Experience using system monitoring tools (e.g., New Relic, Splunk) and automated testing frameworks
· Hands-on experience with containerization technologies (e.g., Docker) and CI/CD pipelines (e.g., Jenkins).
· Good understanding of the software development lifecycle
· Ability to work independently
· Excellent organizational and communication skills

You’ll stand out if you have:
· Advanced skills developing complex web applications using React
· Familiarity with Adobe Target, Analytics, and Tag Manager
· Understanding of internet-based media distribution solutions, video streaming standards and interactive media formats

7967 - React JavaScript

JR3600
---
**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
- Verifies that product documentation is in sync with product functionality.
- Monitors and verifies that quality activities are in line with control procedures.
- Compiles, analyzes, and distributes performance reports and process control statistics.
- Maintains and disseminates defect documentation and logs.
- Executes test cases as per the test plan.
- Reports defects in the defect tracking tool.
- Participates in test case reviews.
- Assists in test data preparation

7966 - QA

**Senior+ Software Engineer (React + .NET)**

Summary of Position:
Reporting to the Director of Software Development, the Senior Software Engineer will play a key role in the modernization and evolution of an enterprise application. This role is primarily focused on front-end development using React and TypeScript, with additional contributions to backend services built in .NET. The ideal candidate is passionate about building exceptional user interfaces, improving application performance, and ensuring clean integration between front-end and back-end components. Experience with C# and SQL Server is valuable for collaborating across the stack and troubleshooting end-to-end workflows.

**Duties & Responsibilities:**
- Lead front-end development efforts using React, TypeScript, and modern JavaScript frameworks.
- Collaborate with backend engineers to integrate APIs and ensure seamless communication with .NET services.
- Contribute to architectural decisions, focusing on scalability, modularity, and maintainability.
- Participate in the modernization of legacy systems into a modern, cloud-based application using Azure services.
- Write high-quality, testable, and reusable code aligned with best practices and coding standards.
- Implement and maintain unit/integration tests for reliable software delivery.
- Collaborate with DevOps teams using Azure DevOps for source control (Repos), CI/CD pipelines, and agile project tracking.
- Participate in Agile ceremonies and continuously improve team practices and workflows.
- Mentor and support junior developers, promoting best practices and shared ownership.
- Perform other related duties as required to support the success of the product and team.

**Required Qualifications:**
- Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
- 7+ years of professional software development experience, including 3+ years of hands-on React experience.
- Strong proficiency in:
    - React, Redux, TypeScript, JavaScript (ES6+)
    - HTML5, CSS3, Responsive Design
    - Basic to intermediate experience with C#/.NET for backend integrations or troubleshooting
    - SQL Server (queries, schema design, stored procedures)
    - Azure or AWS (App Services, Containers, Scaling, Message Queues)
- Experience working with Azure DevOps (Repos, Pipelines, Boards) or similar.
- Solid understanding of software architecture principles (SPA design, modularity, microservices concepts).
- Experience with automated testing frameworks (e.g., Jest, React Testing Library, xUnit, Moq).
- Familiarity with secure coding practices (OWASP Top 10).
- Excellent communication and teamwork skills in a collaborative, cross-functional environment.
- Self-starter attitude with a focus on ownership, quality, and continuous improvement.

**Nice to Have:**
- Experience with Microsoft Power BI Embedded.
- Exposure to healthcare or other regulated environments.
- Previous experience refactoring or migrating legacy applications.

7955 - React JavaScript

**UX Designer - Job Description**
We are looking for a user experience designer responsible for conceiving and conducting user research, interviews, and surveys, and translating them into sitemaps, wireframes, and prototypes. You will also design the overall functionality of the product and iterate upon it to ensure a great user experience.

**Responsibilities**
- Translate concepts into wireframes and mockups that lead to intuitive user experiences.
- Facilitate clients’ product visions by researching, conceiving, wireframing, sketching, prototyping, and mocking up user experiences for digital products.
- Design and deliver wireframes, user stories, user journeys, and mockups optimized for a wide range of devices and interfaces.
- Identify design problems and devise elegant solutions.
- Make strategic design and user experience decisions related to core and new functions and features.
- Take a user-centered design approach and rapidly test and iterate your designs.
- Collaborate with other team members and stakeholders.

**Requirements**
- Preference will be given to candidates who have experience designing complex solutions for complete digital environments.
- Expertise in UX and design software (Figma is a must). Basic HTML5, CSS3, and JavaScript skills are a plus but not required
- Ability to work with stakeholders to understand detailed requirements and design complete user experiences that meet client needs and vision.
- Experience in using UX design best practices to design solutions, with a deep understanding of mobile and responsive design.
- A solid grasp of user-centered design and testing methodologies, subsystems, usability, and accessibility concerns.
- Ability to iterate your designs and solutions efficiently and intelligently.
- Ability to clearly and effectively communicate design processes, ideas, and solutions to teams and clients.
- A clear understanding of the importance of user-centered design.
- Be excited about collaborating and communicating closely with teams and other stakeholders via a distributed model to regularly deliver design solutions for approval.
- Be willing to help teammates, share knowledge and experience with them, and learn from them.
- Be open to receiving feedback and constructive criticism.
- Be passionate about all things UX and other areas of design and innovation. Research and showcase knowledge of the industry’s latest trends and technologies.

Design UX/UI Digital Design

7954 - Design UX/UI Digital Design

**UX Designer - Job Description**
We are looking for a user experience designer responsible for conceiving and conducting user research, interviews, and surveys, and translating them into sitemaps, wireframes, and prototypes. You will also design the overall functionality of the product and iterate upon it to ensure a great user experience.

**Responsibilities**
- Translate concepts into wireframes and mockups that lead to intuitive user experiences.
- Facilitate clients’ product visions by researching, conceiving, wireframing, sketching, prototyping, and mocking up user experiences for digital products.
- Design and deliver wireframes, user stories, user journeys, and mockups optimized for a wide range of devices and interfaces.
- Identify design problems and devise elegant solutions.
- Make strategic design and user experience decisions related to core and new functions and features.
- Take a user-centered design approach and rapidly test and iterate your designs.
- Collaborate with other team members and stakeholders.

**Requirements**
- Preference will be given to candidates who have experience designing complex solutions for complete digital environments.
- Expertise in UX and design software (Figma is a must). Basic HTML5, CSS3, and JavaScript skills are a plus. but not required.
- Ability to work with stakeholders to understand detailed requirements and design complete user experiences that meet client needs and vision.
- Experience in using UX design best practices to design solutions, with a deep understanding of mobile and responsive design.
- A solid grasp of user-centered design and testing methodologies, subsystems, usability, and accessibility concerns.
- Ability to iterate your designs and solutions efficiently and intelligently.
- Ability to clearly and effectively communicate design processes, ideas, and solutions to teams and clients.
- A clear understanding of the importance of user-centered design.
- Be excited about collaborating and communicating closely with teams and other stakeholders via a distributed model to regularly deliver design solutions for approval.
- Be willing to help teammates, share knowledge and experience with them, and learn from them.
- Be open to receiving feedback and constructive criticism.
- Be passionate about all things UX and other areas of design and innovation. Research and showcase knowledge of the industry’s latest trends and technologies.

7953 - Design UX/UI Digital Design

**Job Overview:**
We are seeking a highly skilled Senior Data Engineer with expertise in DBT, Snowflake, ETL processes, APIs, and data quality management to join our data-driventeam. This role involves working with large and often disparate data sources, ensuring data is clean, consistent, and analysis-ready. The ideal candidate has a strong analytical mindset, technical expertise, and a collaborative approach to problem-solving.

**Key Responsibilities:**
• **Write and optimize complex SQL queries** to extract, transform, and analyze large datasets in **Snowflake**
• **Build and maintain robust ETL pipelines**, ensuring efficient and reliable data movement across systems
• **Integrate and manage data from disparate sources**, including APIs, flat files,databases, and cloud platforms
• **Perform data scrubbing, cleansing, and validation** to ensure accuracy, consistency, and usability of data
• **Develop and maintain documentation** for data definitions, processes, and data flows
• **Ensure high standards of data governance, integrity, and quality control**
• Collaborate with data engineers and developers to improve data infrastructure and performance

**Qualifications**:
- **This is a dbt-heavy role. Extensive experience is required.**

• Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, or a commiserate experience
• 4+ years of experience as a data engineer or similar role
• **Strong experience with Snowflake** or equivalent cloud data platforms
• **Hands-on experience in designing and maintaining ETL/ELT processes** using tools like Azure Data Factory, dbt, Talend, or Informatica
**• Proficiency in data scrubbing** and working with messy, unstructured, or inconsistent data
• **Demonstrated ability to manage and integrate data** from multiple, disparate sources
• Strong understanding of APIs and experience integrating with RESTful services
• Excellent SQL skills and familiarity with data modeling concepts
• Strong communication skills with the ability to explain technical concepts to nontechnical users

**Preferred Qualifications:**
• Experience with scripting languages such as **Python** or R
• Familiarity with Agile/Scrum methodologies
• Experience in a financial and marketing data

7950 - Data Engineer Data

DevOps Engineer Basic Qualifications:
- 5+ years of experience.
- Experience with CI/CD, ideally familiar with Github Actions.
- Experience with containerized applications and service architectures
- Familiar with at least one programming language (typescript preferred)
- Experience with IaC, specifically with Pulumi and/or AWS CDK.
- Experience with implementing and maintaining AWS infrastructure, ideally has AWS Certified SysOps Administrator.

Preferred:
- Experience with AWS Well-Architected Framework.
- Experience with business continuity and disaster recovery within AWS.
- Experience with observability, alerting, and monitoring, ideally with AWS and Datadog.

7949 - DevOps Cloud, Infrastructure and ITOps

Your primary responsibility will be designing, implementing, deploying, and maintaining ML solutions for a mix of features across multiple product areas.  Experience building, deploying, and maintaining ML systems is required, and familiarity with Generative AI, agentic AI, and the tooling to deploy these solutions in production software is highly desirable.
- Lead end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems.
- Design and implement robust ML pipelines and production-grade infrastructure to support high-volume workloads.
- Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs.
- Research and prototype novel AI/ML algorithms and techniques to drive innovation.
- Mentor engineers and foster a culture of technical excellence, collaboration, and continuous learning.
- Establish and enforce best practices for AI/ML development, deployment, monitoring, and governance.
- Monitor model performance, scalability, and cost in production, and drive continuous optimization.
- Advocate for responsible AI—focusing on fairness, transparency, and data privacy.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders; contribute to the AI strategy and long-term technology direction.

Qualifications:
- 6+ years in technology or software development, with at least 3 years specializing in ML/AI, analytics, or data science roles.
- Extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, SageMaker) and hands-on model development.
- Proficiency in Python; working knowledge of Java; strong SQL; experience building data pipelines and APIs to connect web apps to data and ML models.
- Proven track record designing, developing, and deploying scalable ML/AI systems in production.
- Strong understanding of ML algorithms, deep learning, NLP, and statistical modeling.
- Experience with LLMs, generative AI, agentic AI, and related tooling; ability to compare these with traditional ML approaches.
- Excellent communication and interpersonal skills; experience leading cross-functional teams.
- Passion for staying current with AI research and applying novel techniques responsibly in production.
- Understanding of ethics, fairness, and compliance implications of AI; ability to lead associated initiatives.

Machine Learning AI

7948 - Machine Learning AI

**Go Developer**
Our technical requirements are primarily on a having a very strong Golang experience with understanding of nonfunctional requirements. Engineer will be part of Pagerduty on call rotation that is shared by all engineers in the team including managers.
- **3+ Year of exeprience developing Go applications**
- Experience with TypeScript, Angular on the frontend
- Observability (Any - Preferred: New Relic, Datadog, AWS) as a developer, Nonfunctional requirements (SLO monitoring, Golden signals etc); **Experience monitoring production environments**
- Amazon Web Services (AWS or equivalent): EKS, RDS etc as a developer
- Database (Slow Queries monitoring, Query optimization, Indexes, Views) Engineering as a developer.
- Docker, Kubernetes, Terraform
- GitHub Actions/Equivalent CICD tooling

Go JavaScript

7947 - Go JavaScript

**Observability Lead Engineer**

We are hiring a **Lead Observability Engineer** who will lead and build a team responsible for research, design, and administration our observability posture in support of our mission to protect and improve our customer platforms, with an ever-watchful eye on
reliability, security, performance, cost, and operational excellence.

Are you looking for a career that makes a positive difference in your life and also in the lives of learners and educators across the globe? We believe in inspiring educators and unlocking the potential in every student. Our adaptive learning platforms utilize AI to offer recommendations, remediations and more to better the outcomes of students around the globe.

Think of it, when someone asks you what you do for a living you could say; “I work on software platforms that help the world’s youth learn”. Talk about a rewarding way to use your engineering skills!
If you have an automation mindset, know AWS, know New Relic, know Datadog, understand how to improve a company’s observability maturity and posture, have worked on containerized distributed systems, like to solve engineering problems and lead by example then you will thrive
here

**About you:**
• You are a strong communicator, both verbally and written. (English)
• You take ownership for the quality of your individual efforts but also in what your team
delivers; your focus is on a successful outcome for all.
• You automate wherever and whenever it makes sense to reduce toil and promote
repeatability
• You are an engineer first, but can think like a Product Manager, Customer, Developer, or
Business Leader when required.
• You can architect cloud/observability solutions and offer suggestions/recommendations
on how infrastructure or applications should be designed.
• You treat people with respect, have a good sense of humor and are non-abrasive.
• You are constantly reading and learning. You know that knowledge is power.

**Qualifications**
• You have experience leading a successful team of engineers, delegating and prioritizing
work, ensuring work completion and managing humans.
• Experience as a Software Engineer, Software Developer in Test, SRE, or Devops
Engineer with practical experience developing and supporting enterprise applications
• Experience with infrastructure automation technologies like Terraform
• Expertise in container/container-fleet-orchestration technologies, specifically ECS and
EKS• Versatility with troubleshooting diverse sets of hosting technologies: web server
platforms, application platforms, operating systems, network components, virtualization
technologies, storage, and database platforms. Can understand the full stack and are able
to traverse the layers during debugging to understand where the failure point is.
• Expertise with continuous-deployment based software development lifecycles (e.g.
CI/CD)
• Cloud database operations and deployment experience (RDS MySQL/Postgres/Aurora)
• Experience with application caching strategies and high concurrency workloads
• Expertise with Lean/Agile deployment processes (Blue/Green, ZDT, Canary, load
balancers/DNS strategies)
• Familiarity with telemetry SaaS systems like New Relic, Datadog, Dynatrace or other
similar observability platform.
• Ability to design and manage escalation response plans from monitoring, react, respond,
remediate and retrospect in culturally aligned (proactive, customer focused, collaborative,
data-driven) ways.
• Demonstrated expertise building and managing highly scaled production infrastructure in
the cloud

**Nice to Have**
• Being able to translate between development, operations, security, product, and
management dialects.
• We are a polyglot organization. Being “conversational” in JavaScript/TypeScript,
Python, PHP, Ruby, Golang, Java, Bash, Markdown, reStructuredText, HCL, JSON,
YAML, and TOML is a huge plus.
• BS Degree in Computer Science (or related technical field and/or equivalent industry
experience) preferred

**Your contributions**
• **as a leader**
o Leading a ~3-5 member, cross-functional, Site Reliability Engineering team
tasked with supporting production infrastructure and web services.
o Collaborating in a DevOps-ish model with product development teams; designing,
deploying, and managing solutions that expedite our business objectives.
o Overseeing the planning, prioritization, and execution of SRE projects and
initiatives.
o Backlog management, Story groooming, Sprint Planning. Team velocity tracking
and process adherence.
o Building and maintaining good relationships with supported development teams.
o Ensuring leadership is informed and aware of all things they need to be aware of.
o Conducting Monthly Review calls to report up status, issues, etc. to leadership.
o Ensuring team has cost consciousness in everything they do. Reviewing spend
and recommending improvements.o Owning reliability, uptime, system security, cost, operations, capacity planning,
resiliency and performance of all services under team’s purview.
o Defining, monitoring and reporting on service level indicators (SLOs) for
applications workloads
o Supporting/Planning on-call rotations for operational duties that have not been
addressed with automation, with an eye for correcting issues that result in on-call
alerts to reduce alert fatigue
o Planning and forecasting for seasonal growth, communicating trend lines with
leadership, enhancing infrastructure scaling plans
o Mentoring and nurturing engineers across varying levels of experience; fostering
growth by setting goals and providing support as needed to achieve them.
o Identifying highest-impact opportunities to optimize existing systems; ensuring
“right-sized” solutions in consideration of technical and business constraints
o Coordinating improvements of existing software and infrastructure to meet
resiliency goals
o Partner with CyberSecurity and develop plans and automation to respond to new
risks and vulnerabilities
o Collaborate with dev teams to identify failure points and blast radius of systems
o Coordinate failure injection and chaos testing efforts
o Staying updated on industry best practices, emerging technologies, trends relevant
to reliability engineering, and new tooling that could help improve our processes
and outcomes

• **as a contributor**
o Hands-on design, analysis, development and troubleshooting of highly-distributed
large-scale production systems and event-driven, cloud-based services
o Ensure repeatability, traceability, and transparency of our infrastructure
automation (infrastructure-as-code, monitoring-as-code)
o Collaborative solutioning of enterprise applications with development teams
o Define, monitor and report on service level indicators for applications workloads
o Support on-call rotations for operational duties that have not been addressed with
automation, with an eye for correcting issues that result in on-call alarms
o Maintain telemetry that improve the visibility to our applications' performance
and business metrics and keep operational workload in-check
o Develop, communicate, collaborate, and monitor standard processes to promote
the long-term health and sustainability of operational development tasks.
o Support healthy software development practices, including complying with agile
software development methodology, performing code reviews, work packaging,
and continuous delivery
o Observe and document steady state production levels, growth patterns
o Coordinate improvements of existing software and infrastructure to meet
resiliency goals
o Terraform project creation, updates, maintenance, decommissions
o Alert/Monitoring creation, updates, maintenance, decommissions
o Any other project work that comes in. You will be the team lead but will be
expected to add individual contributor value as well.
• _Observability General_o Actively monitor platform cost (Datadog, New Relic) and identify cost savings
measures without reducing tool effectiveness.
o Ownership of reliability, uptime, system security, cost, operations, capacity,
resiliency and performance-analysis thereof of any components that are involved
in observability.
o Define proper alerts/monitors/dashboards for monitoring platform costs to be able
to intervene and fix misconfigurations detected that would drive up observability
costs.
o Maintain telemetry that improve the visibility to our applications' performance
and business metrics and keep operational workload in-check
o Collaborate with dev teams to identify and catalog effectiveness of monitoring
and observability configurations
o Observe and document steady state production levels, growth patterns within the
tools and assist DPG leadership in forecasting future tool license needs
o Monitor the current age and recommendations of New Relic and Data Dog
regarding critical patches and updates to client agents, and as part of the Cloud
Engineering team, ensure that the updates are tested and then pushed out via
automated AMI updates where appropriate.
• _Platform Administration_
o Manage user access, with an eye toward least privileged access, and appropriate
grouping rules to foster collaboration and understanding.
o Work with development teams and SREs when onboarding new applications into
the tools, to ensure that best practices are met and complied with.
o Define best practices with a continual learning model of studying feedback loops
that the tools provide, dropping used features, and advocating for the ones that
add value.
o Track consumption against license costs, and forcast future growth reduction both
in support of fiscal year budget planning as well as contract renewal.
o Analyze event attributes and determine where there is unnecessary, redundant or
unwanted data on a metric or event record and utilize drop filters to reduce, and
eventually reduce at source
o Set the sample rates appropriately for event collection frequency and sample size
to achieve targets for data consumption
• _Training and Advocacy_
o Collaborate with vendors to identify the best training modules suited for our team's consumption
o Work directly with dev teams when auditing their use of the tool, to facilitate
education into proper tool usage and maximize developer value of the tool.
o Solicit feedback from developers and users of the tools to understand common
usage behavior, pain points, and need, and translates that into actionable feedback
for the vendors and work to improve product capabilities as advocates on our
behalf.

**New Relic:**• Be an expert in data management. Understand which accounts, applications are contributing to the data ingest load and validate that the data being sent in is actually useful. Proactively monitor ingest patterns and develop a preditive model to determine
what an appropriate monthly allowance should be that accounts for the cyclical usage patterns in a typical US education semester pattern.

• Maintain that the OKTA saml integration that automates user provisioning and
deprovisioning. Audit the requests from our tools to grant licenses and keep track of
which BU they are with (DPG, A3K, GTS) so that we can begin charging back Full
users. Basic users are free and do not require auditing. Keep track of “last active” date
and keep us under 500 “Full Platform” users. (at 476 at the time of this writing)
• Disable or actively rejet “invite users”. We want all user onboarding to happen through
out tools.
• Audit and refine the RBAC controls (Access Management) inside New Relic. Make sure
that we empower users but also prevent them from accidentally causing excessive data
ingest.
• Audit and track API keys. Learn who uses then and for what purpose. Develop and
maintain a process for key rotation
• Integrations? There’s a ton of stuff here. Needs reserach and recommendations for how
we leverage w/o blowing up data ingest.
• Domain Management: https://onenr.io/0dQebAPLYwe What is this? Should we be using
it?
• Workloads: These are useful prebuilt dashboards, and NR’s attempt to minic DD
“Service Catalog”. poorly. But let’s make sure we are using them effectively as they are
intended to be the “guided tour” of team ownership of applications, and I expect the
“view” to be used to allow novice users to quickly browser and understand metrics, then
find dashboards and runbooks.

• Drop Filters
o This is an extensive topic, but in short you can write a select query that identifies
specific attributes, metrics, or events and on the ingestion of data into the edge of
new relic, we can “drop” specific data elements. This is the primary way that
SREs can manage our ingest budgets without having to continually release
changes at the shipper. This is an advantage that New Relic has over DataDog
because in NR the data is dropped before ingest billing is calculated, and in
DataDog, it is dropped AFTER the initial ingest (but prior to storage) is
calcualted. Thus, this is a feature the observability engineer must know intimately.
o Using NerdGraph: There are areas inside New Relic that can only be managed via
GraphQL. The OE will need to be a master of this API and understand the
nuances in order to script automation to mange the various facets of new relic. It
is always preferrable to craft repeatable scripts that can be trigged off of
ServiceNow integration for various activities over manual steps.

• Synthetics:
o Understand and advise on which type of test is appropriate.
o Record, Edit, assert, and replay synthetic tests to ensure they are useful and
consistent for uptime SLO measurements, as well as incident escalation.
o Manage our fleet of private locations (minions) and ensure they are upgrade with
the latest headless runtimes• Apps
o We have several third party apps installed, and these require periodic upgrades
and lifecycle maintenance.
o Research newly available apps as part of R&D to determine if they would add
value to the SRE practice or aid in developers. Alongside the training above, the
OE would provide periodic “Show & tells” of new features in New Relic that may
benefit our company.

• Infinite Tracing
o Understand and recommend data implications of using this feature to ensure that
the budget is adhered to, and consequences/benefits of using this style of trace
ingest vs. standard.

• Error reporting and collections
o Understand and advocate for correlation and escalation of errors within this tool.
• Service Levels
o We have adopted SLO/SLI and thus full built out service levels. The OE is
responsible for auditing and validating that appropriate service levels are set for
all key applications. They do this by working with SRE teams to understand top
applications.

**DataDog**:
• Track and refine overall Log Ingestion Configuration. Define standards aroudn retention
rules and indexes, and implications of data rehydration.

**Understand pillars of observability:**
• Metrics - numerical representations of data that are measured over time intervals
• Logs - a system-generated record of data
• Traces - the end-to-end journey of a transaction within the system

**Understand our systems, technologies and dependencies**
• understand the technologies and architectures in use
• learn how request flow through system
• learn dependencies between systems
• learn what makes these items observable
• observe and monitor while minimizing overlap, waste and spend

**Data prep, routing, parsing, enrichment, storage**
• get the _right_ data from source to destination quickly and efficiently
• vendor agnostic solution to store, route, parse, enrich and/or filter our data before sending
to observability platform (future)**Tool Configuration and Administration**
• user provisioning and permissions (e.g. okta, rbac)
• agent configuration and deployment (e.g. apm, infra, sampling rates)
• 3rd party integrations (e.g. aws, azure, sampling and polling rates)
• log shippers (e.g. ecs, k8s, lambda, standalone, kinesis)
• understand system limits (e.g. api limits, logging limits, ingestion limits, parsing limits)
• pipelines, parsers, processors, indexes, custom metrics, remappers, archives, facets,
views, dashboards,
• monitor usage and spend continuously
• automate setup and configuration through automation

**Features**
• Understand the feature set of each tool we use (e.g. apm, infra, network, storage,
integrations, dashboards, monitoring)
• learn how to use them effectively and efficiently (e.g. sampling rates)
• make recommendations to teams and DPG
• suggest recommended training
• Pay attention to observability trends, tools, features and approaches

**Monitoring and Alerting**
• learn how to use dashboards and alerting effectively
• educate teams on how to build informative, succinct and actionable dashboards
• educate teams on how to build actionable alerts
• learn and advocate for monitoring as code
• help us arrive at a common MaC solution
• ensure necessary integrations are present and functional (e.g. slack, pagerduty)
• produce dashboards that shows alert volume by platform, application and team
• help teams establish SLOs

**Data Ingestion and Spend Analysis**
• understand the end-to-end cost of shipping a GB of data from both a cloud hosting and
observability platform
• help establish and enforce minimum tagging standards so we can visualize our data
ingestion and spend• build monitoring an alerting on both on ingestion and spend to proactively catch
inefficient and unnecessary ingestion
• make this information visible to teams and management through dashboards and reports
• use historical data to help forecast future needs and spend
• understand the cost models used by new relic, data dog and amazon
• understand different types of data being ingested (e.g. metric, transaction, spans, logging,
system, process, network, storage, synthetic, integrations)
• examine logs and data for sensitive information

**Ongoing Team Support**
• provide best practices to teams (e.g. use allow/exclusion lists, don’t send in data about
every running process when you are interested in only one)
• provide suggested training paths for tools and features
• help answer questions within support channels (e.g. distributed tracing vs transactions)
• help teams establish proper SLOs

**Vendor Management**
• review ongoing issues with them
• advocate for new features
• attend quarterly business review meeting

**Future**
• help inform our observability roadmap
• how to leverage “AI” tooling being offered by each vendor
• set up a central observability aws account which allows us to monitor resources and logs
across aws accounts
• find a vendor agnostic solution like ?? that helps us route, parse, enrich, filter and drop
our logs before shipping up to observability tool

Site Reliability Engineer Cloud, Infrastructure and ITOps

7946 - Site Reliability Engineer Cloud, Infrastructure and ITOps

As a Site Reliability Engineer, you will collaborate in a DevOps model with product development teams; designing, deploying, and managing automation tools that increase predictability as well as time to market while reducing cost.

Our stack 
• Code:, Java, PHP, Node, and GoLang 
• RDBMS: Oracle, PostGreSQL, MySQL 
• Cache: Couchbase, Redis, ElastiCache, DynamoDB 
• Containers: ECS, EKS, K8S, Docker 
• Cloud: Amazon AWS 
• Telemetry: New Relic, CloudWatch 
• Build: Jenkins, CircleCI, GitHub Actions 
• Run: PagerDuty, Exigence 
• Infrastructure-As-Code: Terraform, Cloudformation

Your contributions 
• Cloud Engineering 
o Hands-on design, analysis, development and troubleshooting of highly-distributed large-scale production systems and event-driven, cloud-based services 
o Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code) 
o Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences 
o Collaborative solutioning of enterprise applications with development teams utilizing our software stack 
o Actively monitor AWS Cost, and utilize optimizer to maximize ROI while maintaining 

Service Level Objectives 

• Observability Engineering 
o Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency and performance-analysis thereof 
o Define, monitor and report on service level indicators for applications workloads 
o Support on-call rotations for operational duties that have not been addressed with automation, with an eye for correcting issues that result in on-call alarms 
o Maintain telemetry that improve the visibility to our applications' performance and business metrics and keep operational workload in-check 
o Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks. 

• DevSecOps 
o Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery 
o Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities 

• Systems Engineering 
o Collaborate with Systems Admins to coordinate middleware, network, storage, database, Windows, Linux, VMware maintenance 
o Automate legacy onprem system maintenance and migrate to cloud via thoughtful redesign 

• Resiliency Engineering 
o Collaborate with dev teams to identify failure points and blast radius of systems 
o Validate effectiveness of monitoring and observability configurations 
o Coordinate failure injection testing 
o Observe and document steady state production levels, growth patterns 
o Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load 
o Coordinate improvements of existing software and infrastructure to meet resiliency goals

**Must Have for this role:**
- Good hands-on experience with Terraform and Configuration Management Tools
- Able to automate the infrastructure Creation
- Plus if have software developer background experience
- Fluency level of English needs to very effective
- Excellent English written and verbal communication skills
- Python
- MySQL
- AWS
- Able to Support on-call rotations for operational duties
- Go Getter
- Respectable
- Self-motivated
- Respectable 

Our stack
- Code:, Java, PHP, Node, and GoLang • RDBMS: Oracle, PostGreSQL, MySQL
- Cache: Couchbase, Redis, ElastiCache, DynamoDB
- Containers: ECS, EKS, K8S, Docker
- Cloud: Amazon AWS • Telemetry: New Relic, CloudWatch 
- Build: Jenkins, CircleCI, GitHub Actions
- Run: PagerDuty, Exigence
- Infrastructure-As-Code: Terraform, Cloudformation

7944 - Site Reliability Engineer Cloud, Infrastructure and ITOps

7943 - Site Reliability Engineer Cloud, Infrastructure and ITOps

7942 - Site Reliability Engineer Cloud, Infrastructure and ITOps

Are you looking for a career that makes a positive difference in your life and reimagines learners and educators across the globe?   Do you want to work with fun and social people in a positive and engaged virtual office environment?
We are hiring a **Senior Site Reliability Engineer **who will build and support reliable, high-capacity, and well-performing systems in support of our mission to protect and improve our customer platforms, with an ever-watchful eye on reliability, security, performance, cost, and operational excellence.
As a Sr Site Reliability Engineer, you will collaborate in a DevOps model with product development teams; designing, deploying, and managing automation tools that increase predictability as well as time to market while reducing cost.
**Our cloud stack includes:**
- **Cloud:** AWS ( Cloudfront, S3, EC2, ECS, SES, SQS, SNS, Load Balancing, VPC, Config, Systems Manager, Lambda, API Gateway, DB services many more).
- **Cloud (**OCI cloud know how a plus. ( Exacs,OCI Compute, Load Balancers, Networking, VCN, Object storage)
- **Infrastructure as Code**: Terraform
- **Programming**: Python, Golang, Bash , Ansible
- **Containers**: AWS ECS
- **Security:** Rapid7, WAF
- **Web**: Apache httpd, Apache Tomcat, Angular
- **Config Management and provisioning**: Ansible, Packer
- **Telemetry:** NewRelic, CloudWatch, DataDog
- **DevSecOps**: Artifactory, Jenkins, CircleCI, SonarQube, Jfrog X-Ray, Control Tower, GitHub Enterprise and more

**Your contributions**
- _Cloud Engineering_
    - Collaborate with product development teams in a DevOps model, designing, deploying, and managing automation tools to enhance predictability and accelerate time to market
    - Identify the highest-impact opportunities to optimize existing systems; ensuring “right-sized” solutions in consideration of technical and business constraints
    - Drive initiatives to enhance system reliability and performance
    - Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code)
    - Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences
    - Actively monitor AWS costs, using optimization tools to maximize ROI while meeting Service Level Objectives.
- _Observability Engineering_
    - Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency, and performance-analysis thereof
    - Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels
    - Ensure that the architecture and deployment models are adequately designed to meet SLA commitments
    - Serve as the primary point of contact during major incidents for your application, and demonstrate the ability to identify and resolve issues that trigger on-call alarms.
    - Maintain and enhance telemetry systems to improve visibility into application performance and business metrics, ensuring operational workloads are effectively managed
    - Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks
- _DevSecOps_
    - Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery
    - Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities
- _Resiliency Engineering_
    - Collaborate with dev teams to identify failure points and blast radius of systems
    - Validate the effectiveness of monitoring and observability configurations
    - Coordinate failure injection testing
    - Observe and document steady state production levels, growth patterns
    - Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load
    - Coordinate improvements of existing software and infrastructure to meet resiliency goals
- Mentor and nurture engineers across varying levels of experience; foster growth by setting high-reaching goals, and providing support to achieve them.
- Ability to expand and collaborate across different levels and stakeholder groups.
- Documents and shares knowledge within the organization via internal forums and communities of practice.
- Good to have Kubernetes experience, EKS or managed their own Kubernetes clusters
    - Must have used terraform to create infrastructure within AWS. Must bring an automation-first mindset to the team.
    - On-call participation required. Person will lead triage bridges when necessary
    - Will be expected to monitoring customer experience, application metrics like golden signals/KPIs and infrastructure health.
    - Needs to work proactively across team boundaries on a daily basis.

**Qualifications**
- Experience as a software engineer, with practical experience developing, debugging, and deploying enterprise applications
- Experience with infrastructure automation technologies, preferably Terraform
- Experience in container/container-fleet-orchestration technologies, preferably EKS or ECS
- Versatility with troubleshooting diverse sets of hosting technologies:  web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms.
- Experience with continuous-deployment based software development lifecycles (e.g. CI/CD)
- Experience with application caching strategies and high concurrency workloads
- Strong communication, problem solving, root cause analysis and systems engineering skills
- Ability to design and manage escalation response plans from monitoring, react, respond, remediate and retrospect in culturally aligned (proactive, customer focused, collaborative, data-driven) ways.
- Demonstrated expertise building and managing highly scaled production infrastructure in the cloud
- BS Degree in Computer Science (or related technical field and/or equivalent industry experience)

7941 - Site Reliability Engineer Cloud, Infrastructure and ITOps

SRE Project Manager
Key Responsibilities
Organization Enablement
- Conduct Team Health Checks to assess team morale, productivity, and effectiveness, and implement actionable feedback loops to drive continuous improvement.
- Develop and execute clear and consistent communication strategies across engineering portfolios to ensure alignment, transparency, and informed decision-making.
- Perform detailed change impact analyses for significant projects, clearly identifying affected processes, teams, and systems to proactively manage stakeholder expectations and mitigate risks.
- Drive service adoption through targeted enablement plans and regularly measure service effectiveness and sustainability, ensuring that adopted tools and processes achieve intended outcomes.

Governance
- Perform financial reporting and analysis related to cloud hosting expenditures.
- Oversee operational reporting, including lifecycle management of events, incidents, issues, and root cause analysis.
- Establish, track, and report business insights and KPIs; review significant changes with engineering stakeholders.
- Facilitate and report compliance activities aligned with industry standards (SOC-2, NIST, 1EdTech) across platform products.

Business Product Management
- Effectively manage incoming business requirements and project requests, ensuring clear prioritization to maximize agility and responsiveness to stakeholder needs.
- Perform functional decomposition of complex problems through collaboration with engineering leadership.
- Prioritize initiatives based on stakeholder input, business value, and associated costs.
- Develop and manage a strategic technical roadmap in collaboration with key stakeholders.

Project Management
- Serve as an agile delivery advocate, performing Scrum Master responsibilities, including facilitating agile ceremonies, resolving blockers, managing dependencies, and ensuring clear task breakdown and sizing.
- Establish program charters by identifying product opportunities and assessing software solution feasibility in partnership with developers.
- Collaborate with software developers, Technical Product Managers (TPMs), and business product managers to plan development, testing, and deployment activities.
- Draft and manage agile artifacts (themes, epics, stories) with high-quality content, clear acceptance criteria, and prioritization.
- Oversee project schedules, clearly communicate milestones and deadlines, and proactively resolve schedule blockers.
- Conduct risk assessments throughout the product development lifecycle.
- Manage defect and security issue triage processes in collaboration with product management, business partners, and customer support teams.

Resiliency Engineering
- Partner with development teams to identify potential system failure points and assess blast radius.
- Ensure the effectiveness of monitoring and observability configurations.
- Coordinate and oversee failure injection tests to proactively identify weaknesses in application reliability.
- Document and analyze steady-state production levels and growth trends.
- Forecast infrastructure needs for seasonal and anticipated growth, enhancing scaling plans to accommodate expected increases.
- Drive software and infrastructure improvements to meet resiliency objectives, leveraging insights from the four golden signals (latency, error rate, uptime, cost) and security considerations to guide improvements.

Cloud Engineering
- Engage in ongoing learning of cloud ecosystems, disaster recovery scenarios, and relevant industry conferences.
- Collaborate with development teams to solution enterprise applications leveraging existing software stacks.
- Actively monitor cloud costs and apply optimization strategies while maintaining application performance and Service Level Objectives (SLOs).

Data-Driven Reporting and Engineering
- Develop dashboards, charts, and graphs using telemetry tools and platforms such as GitHub and Jira.
- Analyze data trends collaboratively with technical leads to provide decision-making insights, incorporating DORA metrics (Deployment Frequency, Lead Time for Changes, Mean Time to Recovery, and Change Failure Rate) to evaluate and optimize delivery performance.
- Leverage the four golden signals to measure reliability in combination with DORA metrics, ensuring continuous improvement in both operational stability and software delivery efficiency.

Candidate Considerations
- Available to work Monday - Friday in US Eastern time zone hours (9am-5pm).
- Strong experience with Jira is required, including advanced proficiency in creating, managing, and reporting agile artifacts (stories, epics, tasks, bugs).
- Should be adept at using Jira dashboards and custom queries for project management and stakeholder reporting.
- Experience working in highly regulated environments or industries is preferred.
- Exceptional communication skills, including the ability to effectively present complex information to diverse stakeholders.
- Proven ability to manage competing priorities in a fast-paced, dynamic environment.
- Engineering background is required with a focus on candidates with exposure to DevSecOps practices and cloud engineering (AWS, GCP, Oracle).
- Experience gathering business requirements, analyzing workflows/processes, prioritizing backlogs, writing user stories, assessing risk, and reporting key business indicators.

Supplemental Clarifications
- Technical vs. Managerial: The role is primarily managerial, emphasizing strategic oversight, effective communication, and efficient project delivery. Technical understanding is necessary for effective collaboration but deep technical execution is not expected.
- Hands-On SRE Practices: Candidates should possess foundational knowledge of SRE practices and cloud engineering concepts, such as cloud-native architectures, incident management, observability tools (e.g., New Relic, Datadog), SLOs, and cost optimization, to effectively facilitate solutions and remove blockers.
- Technical Prioritization: Engineering leads primarily drive technical prioritization. The SPM facilitates alignment with business objectives, resolves conflicts, and ensures prioritized initiatives are clearly tracked and timely delivered.
- Compliance Strategies: Compliance standards (e.g., SOC-2, NIST, SOX) are predefined. The SPM facilitates compliance adherence, tracks progress, and regularly communicates status updates to leadership.
- Success Metrics (KPIs): Key performance indicators include meeting project milestones, timely delivery of SRE initiatives (e.g., migrations, cost optimizations, tooling implementations), efficient work management (Time in Progress, Time to Deploy), and responsiveness to compliance spikes in application Service Level Objectives (Latency, Error Rate, Uptime). The role also ensures SRE activities support uninterrupted feature delivery while maintaining system reliability and compliance.

Project Manager Product Administration

7940 - Project Manager Product Administration

7939 - Site Reliability Engineer Cloud, Infrastructure and ITOps

7938 - Site Reliability Engineer Cloud, Infrastructure and ITOps

### Senior SDET/QA Automation Engineer
### The Position:
### We are seeking an experienced Senior SDET/QA Automation Engineer to join our healthcare technology team. This role will be instrumental in building and maintaining our test automation infrastructure, ensuring software quality throughout the development lifecycle, and establishing testing best practices across the organization. The ideal candidate will have deep expertise in test automation frameworks, strong coding skills, and experience with healthcare data compliance requirements. This senior-level position will also provide technical leadership and mentorship to QA engineers and developers.
### Duties & Responsibilities:
Test Automation & Engineering:
· Design and implement comprehensive test automation frameworks and strategies for web applications, APIs, and data pipelines
· Build and maintain automated test suites using modern tools and frameworks (Playwright, Selenium, Pytest, etc.)
· Develop automated tests for REST APIs, microservices, and event-driven architectures
· Create performance and load testing solutions to validate system scalability
· Implement automated security and compliance testing for PHI data handling
· Integrate automated tests into CI/CD pipelines using Azure DevOps

Quality Strategy & Planning:
· Define test strategies, plans, and acceptance criteria in collaboration with product owners and developers
· Establish quality gates and release criteria for software deployments
· Identify testing gaps and recommend improvements to testing processes
· Champion shift-left testing practices and quality-first culture
· Evaluate and recommend testing tools and technologies
· Drive continuous improvement in test coverage and effectiveness

Test Development & Execution:
· Write automated tests for functional, integration, regression, and end-to-end scenarios
· Develop API tests using tools like Postman, REST Assured, or similar frameworks
· Create database validation tests and data quality checks
· Build test data management strategies and synthetic data generation tools
· Develop automated smoke tests and health checks for production monitoring
· Maintain and refactor test code following software engineering best practices

Technical Leadership:
· Provide technical guidance and mentorship to QA engineers and junior team members
· Conduct code reviews for test automation code
· Establish testing standards, patterns, and best practices
· Collaborate with developers on testability and quality improvements
· Lead initiatives to improve test infrastructure and tooling
· Drive automation coverage metrics and reporting

Collaboration & DevOps:
· Work closely with developers, DevOps, and infrastructure teams to integrate testing into deployment pipelines
· Participate in sprint planning, story refinement, and retrospectives
· Collaborate on troubleshooting production issues and root cause analysis
· Support continuous delivery initiatives and deployment automation
· Coordinate with cross-functional teams on quality objectives

Documentation & Compliance:
· Create and maintain test plans, test cases, and automation documentation
· Document testing frameworks, tools, and processes
· Ensure testing practices meet HIPAA/HITRUST compliance requirements
· Maintain traceability between requirements, tests, and defects
· Create knowledge base articles and training materials for testing practices

Quality Metrics & Reporting:
· Track and report on test automation coverage, execution results, and quality metrics
· Analyze test results and provide insights on software quality trends
· Monitor defect metrics and advocate for quality improvements
· Create dashboards for test execution and quality visibility
· Provide regular status updates to stakeholders
### Experience & Qualifications:
Required:
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field, or equivalent work experience
- 6+ years of experience in software testing and QA automation
- Expert-level proficiency in at least one programming language (Python, C#, Java, or JavaScript)
- Strong experience with test automation frameworks (Playwright, Selenium, Cypress, or similar)
- Hands-on experience with API testing tools and frameworks (Postman, REST Assured, Pytest)
- Experience with CI/CD tools and practices (Azure DevOps, GitHub Actions, Jenkins)
- Strong understanding of software testing methodologies and best practices
- Experience with version control systems (Git) and collaborative development workflows
- Solid understanding of SQL and database testing
- Experience testing web applications, APIs, and microservices architectures
- Knowledge of Agile/Scrum methodologies
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills
- Ability to work both independently and collaboratively in a team environment

Preferred:
- Microsoft certifications (Azure DevOps Engineer Expert, Azure Developer Associate)
- Experience with performance testing tools (JMeter, k6, Azure Load Testing)
- Knowledge of Azure services (Container Apps, Functions, Service Bus, API Management)
- Experience with BDD frameworks (Cucumber, SpecFlow) and behavior-driven testing
- Understanding of HIPAA/HITRUST compliance requirements for healthcare data
- Experience with test management tools (Azure Test Plans, Zephyr, TestRail)
- Knowledge of containerization and Docker for test environments
- Experience with security testing tools and practices
- Familiarity with Infrastructure as Code for test environment setup
- Background in healthcare technology or regulated industries
- Experience mentoring or leading QA teams
- Knowledge of accessibility testing (WCAG compliance)

### The Person:
The successful candidate will be a quality-focused engineer who:
· Takes pride in building robust, maintainable test automation that catches bugs early
· Collaborates naturally with developers to improve code testability and quality
· Actively seeks to deepen expertise in modern testing tools and practices
· Thinks strategically about test coverage while being pragmatic about ROI
· Shares knowledge through mentoring, documentation, and advocating for quality

7937 - SDET QA Automation

We are seeking a highly skilled and collaborative Senior Backend Engineer to join our dynamic team. In this role, you will be at the heart of our software development lifecycle, designing, building, and deploying robust, scalable, and high-performance backend services on the Microsoft Azure platform. You are a problem-solver who values clean code, thrives in a team environment, and understands that clear communication is just as important as technical excellence.
**Key Responsibilities**
- Design, develop, and maintain backend services and APIs using **.NET Core**.
- Build and architect **Microservices**, leveraging patterns like **Dependency Injection**.
- Develop and manage **Windows Services** and background tasks, with a strong focus on **Multithreading**.
- Create, consume, and manage Azure cloud services, including **API Management (APIM)**, **Service Bus**, **Azure Functions**, **Logic Apps**, and **Azure Storage**.
- Write clean, tested, and maintainable code, taking ownership of quality through comprehensive **Unit Testing**.
- **Develop and execute automation tests**, taking a hands-on role in the testing process to ensure software quality and reliability.
- Implement and manage **CI/CD pipelines** for automated build, test, and deployment processes.
- Write and optimize complex **SQL queries** (using Group By, Count, Select In, etc.) for data access and manipulation.
- Collaborate closely with cross-functional teams, including front-end developers, product managers, and other stakeholders.

**Required Skills & Qualifications**
- **Must-Have Technical Skills:**
    - Proven experience with **C#** and the **.NET/.NET Core** framework.
    - Strong background in **Multithreading** and building **Windows Services**.
    - Hands-on experience with **Microservices** architecture and **Dependency Injection**.
    - Expertise in **Unit Testing** frameworks (e.g., NUnit, xUnit, MSTest).
    - Proficiency with **Azure services**: **APIM**, **Service Bus**, **Functions**, **Logic App**, and **Azure Storage**.
    - Solid experience designing and implementing **CI/CD pipelines** (e.g., Azure DevOps, GitHub Actions).
    - Strong **SQL** skills with the ability to write and optimize complex queries.
- **Must-Have Soft Skills:**
    - Excellent verbal and written **communication skills**.
    - A proactive team player with a strong sense of ownership and accountability.
    - **Ability and willingness to work on testing and test automation** as a core part of the development lifecycle.

**Nice-to-Have Skills**
- Experience with containerization technologies (**Docker**) and orchestration platforms (**Kubernetes**).
- Experience with other automation testing frameworks (e.g., Selenium, SpecFlow).

C# C#

7936 - C# C#

7935 - C# C#

7934 - C# C#

**Title: Sr. Software Engineer**

**Summary of Position:**
Reporting to the Director of Software Development, the Senior Software Engineer will play a pivotal role in the evolution of an enterprise application. This individual will be responsible for driving technical excellence, contributing to architectural decisions, and collaborating across teams to deliver scalable, maintainable, and high-performing software solutions. The ideal candidate is a full-stack developer with a strong foundation in React, C#, and SQL Server, and is eager to grow into a technical ownership role.

**Duties & Responsibilities:**
- Take technical ownership of core components of the enterprise application, with a long-term vision for scalability and maintainability
- Design, develop and enhance features using React (TypeScript) on the front end and C#/.NET on the back end
- Optimize and maintain SQL Server databases, including schema design, performance tuning and data integrity
- Lead efforts to refactor legacy codebases into modern, modular architectures using cloud-native best practices
- Implement and automate unit and integration testing strategies to ensure code quality reliability
- Collaborate closely with internal employees, contractors and DevOps teams to align development efforts with business goals
- Utilize Azure DevOps for source control (Repos), CI/CD (Pipelines) and work with tracking(Boards)
- Participate in Agile ceremonies and contribute to continuous improvement of team processes
- Mentor junior developers and contribute to a culture of technical excellence and innovation
- Perform other related duties, as assigned, to support the effective operation of the department and the company


**Minimum Qualifications:**
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience required
- 8+ years of professional software development experience, including full-stack development and cloud-native development
- ++Proficiency in:++
- C#/.NET for backend development
- React (with Redux and TypeScript, Redis) for frontend development
- SQL Server (T-SQL, schema design, stored procedures)
- Azure (App Services, Containers, Horizontal Scaling, Message Queues)
- Preferred experience with Microsoft Power BI Embedded and Azure DevOps (Repos, Pipelines,Boards) is a plus
- Proven ability to write meaningful, automated unit and integration tests using frameworks like xUnit, Moq or similar
- Utilize secure coding practices aligned with OWASP Top 10
- Solid understanding of software architecture principles, including microservices and SPA design
- Preferred experience in the healthcare industry or other regulated environments
- Experience working in Agile frameworks such as Scum or Kanban
- Excellent communication and collaboration skills, with the ability to work across departments and with external partners
- Self-starter with a proactive mindset and a

7933 - C# C#

### **Position Title**: Sr. Data Developer
### The Position:
We are seeking an experienced Senior Data Engineer to join our healthcare technology team. This role will be instrumental in designing, building, and maintaining our Azure-based data infrastructure, including databases, data pipelines, analytics platforms, and business intelligence solutions. The ideal candidate will have deep expertise in the Microsoft data stack, strong architectural thinking, and experience with healthcare data compliance requirements. This senior-level position will also provide technical leadership and mentorship to the broader engineering team.
### 
### Duties & Responsibilities:
**Data Architecture & Engineering:**
· Design and implement scalable, secure data architectures on Azure to support business intelligence, analytics, and operational systems
· Contribute to database designs across multiple platforms (Azure SQL Database, SQL Managed Instance, PostgreSQL, CosmosDB)
· Optimize data storage strategies across Azure Blob Storage, Data Lake, and structured databases
· Design data models and structures that enable efficient analytics and reporting

**Database Development & Management:**
· Design, develop, and maintain complex stored procedures, functions, triggers, and views
· Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures
· Perform database performance tuning, indexing strategies, and query optimization
· Ensure data integrity, security, and compliance with HIPAA/HITRUST requirements for PHI data
· Manage database lifecycle across development, pre-production, and production environments utilizing RedGate Flyway

**Data Integration :**
· Integrate with external REST APIs for data ingestion and develop internal data APIs using Python (FastAPI/Flask) on Azure Container Apps or Functions
· Ensure data quality, consistency, and lineage across the data platform

### **Business Intelligence & Analytics:**

· Collaborate with stakeholders to translate business requirements into technical solutions
· Optimize data structures for reporting and analytics performance

**Technical Leadership:**
· Provide technical guidance and mentorship to junior developers and engineers
· Contribute to data engineering best practices, standards, and patterns
· Participate in architecture reviews and technical decision-making
· Collaborate with DevOps and Infrastructure teams on platform improvements
· Drive continuous improvement in data quality, performance, and reliability

**Documentation & Compliance:**
· Create and maintain comprehensive technical documentation including data dictionaries, architecture diagrams, and process flows
· Document data lineage, transformation logic, and business rules
· Ensure all data handling practices meet HIPAA/HITRUST compliance requirements
· Maintain audit trails and documentation for compliance purposes

**Support & Problem Resolution:**
· Troubleshoot and resolve complex data-related issues across the platform
· Provide escalation support for production incidents
· Collaborate with cross-functional teams to support business operations
· Participate in on-call rotation as needed
### Experience & Qualifications:
**Required:**
- Bachelor’s degree in computer science, Information Systems, Data Engineering, or      related field, or equivalent work experience
- 6+ years of experience in data engineering, database development, or related roles
- Expert-level proficiency in T-SQL and Microsoft SQL Server
- Expert-level proficiency of Python
- Experience building REST APIs and background workers in Python (FastAPI/Flask)
- Understanding of event-driven architectures and asynchronous processing patterns
- Strong experience with Azure data services (Azure SQL, Data Factory, Synapse,      Blob Storage, etc.)
- Knowledge of Power BI development skills, data modeling, and performance      optimization
- Solid understanding of database design principles, normalization, and data      modeling
- Experience with version control systems (Git) and CI/CD practices
- Strong analytical and problem-solving abilities with attention to detail
- Excellent written and verbal communication skills
- Ability to work both independently and collaboratively in a team environment

**Preferred:**
- Microsoft certifications (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst)
- Experience with Infrastructure as Code (Terraform, Bicep, ARM templates)
- Knowledge of additional Azure services (Container Apps, Functions, Logic Apps)
- Experience with other database platforms (PostgreSQL, CosmosDB)
- Understanding of HIPAA/HITRUST compliance requirements for healthcare data
- Experience PowerShell for automation and scripting
- Experience with Azure DevOps or similar platforms for CI/CD
- Experience with data governance, cataloging, and metadata management
- Background in healthcare technology or regulated industries
- Experience with Agile/Scrum methodologies

### The Person:
The successful candidate will be a hands-on data engineer who:
· Takes pride in writing clean, performant code and well-designed data solutions
· Collaborates naturally across teams to understand needs and deliver results
· Actively seeks to deepen expertise in Azure and modern data engineering
· Thrives on solving complex data challenges with methodical approaches
· Shares knowledge through documentation and mentoring teammates

7932 - Data Engineer Data

### **Position Title**: Power BI Developer
### **Reports To**: Director of Software Engineering
### The Position:
We are seeking a Power BI Developer to join our team. This role will focus on designing, developing, & maintaining Power BI solutions that transform data into actionable insights for stakeholders across the organization. The ideal candidate will have strong expertise in Power BI, DAX, & data visualization best practices, with the ability to translate business requirements into compelling reports & dashboards. Experience with healthcare data & compliance requirements is a plus.
### **Duties & Responsibilities:**
**Power BI Development:**
· Design & develop Power BI reports, dashboards, & semantic models (datasets)
· Create & optimize complex DAX expressions for calculations, measures, & KPIs
· Build interactive visualizations that tell clear data stories & drive decision-making
· Implement bookmarks, drill-throughs, & other interactive features for enhanced user experience
· Develop & maintain Power BI templates & reusable components

**Data Modeling & Optimization:**
· Design efficient star schema & snowflake schema data models
· Optimize Power BI reports for performance & scalability
· Implement incremental refresh & data reduction strategies
· Troubleshoot & resolve data model performance issues
· Collaborate with data engineers on semantic layer design

**Security & Governance:**
· Implement row-level security (RLS) & object-level security (OLS) based on business requirements
· Configure & manage Power BI workspaces, apps, & content distribution
· Establish & enforce Power BI governance standards & best practices
· Manage data refresh schedules & monitor gateway performance
· Ensure reports comply with HIPAA/HITRUST requirements for PHI data

**Stakeholder Collaboration:**
· Partner with business stakeholders to gather & document reporting requirements
· Translate business questions into analytical solutions
· Conduct user training & create documentation for self-service capabilities
· Provide guidance on data interpretation & best practices for report consumption
· Gather feedback & iterate on solutions based on user needs

**Analytics & Insights:**
· Analyze data to identify trends, patterns, & anomalies
· Develop KPIs & metrics that align with organizational goals
· Create executive-level dashboards & operational reports
· Support ad-hoc analysis & data exploration requests
· Validate data accuracy & report outputs

**Documentation & Support:**
· Create & maintain comprehensive documentation for reports, data models, & business logic
· Document DAX formulas, calculated columns, & measures with clear descriptions
· Maintain a catalog of available reports & their intended use cases
· Provide end-user support & troubleshoot report issues
· Create user guides & training materials

**Continuous Improvement:**
· Stay current with Power BI features, updates, & best practices
· Identify opportunities to improve existing reports & processes
· Recommend new visualization techniques & analytical approaches
· Participate in testing new Power BI features & capabilities
· Share knowledge with team members through demos & knowledge-sharing sessions
### **Experience & Qualifications:**
### **Required:**
· Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related field, or equivalent work experience
· 5+ years of experience developing Power BI solutions in a professional environment
· Expert-level proficiency in Power BI Desktop, Power BI Service, Power BI Embedded & Power BI Report Builder
· Strong proficiency in SQL and T-SQL for data validation, troubleshooting, and working with data sources
· Strong expertise in DAX (Data Analysis Expressions) including time intelligence & complex calculations
· Solid understanding of data modeling concepts, star schemas, & dimensional modeling
· Experience with Power Query (M language) for data transformation
· Strong data visualization & design principles
· Experience implementing row-level security & workspace management
· Excellent analytical & problem-solving abilities
· Strong communication skills with ability to explain technical concepts to non-technical audiences
· Ability to manage multiple projects & priorities simultaneously
### **Preferred:**
· Microsoft Power BI Data Analyst certification (PL-300)
· Experience with Power BI Premium features (paginated reports, deployment pipelines, dataflows)
· Knowledge of other Microsoft data tools (Azure Analysis Services, Excel, Power Automate)
· Experience with version control for Power BI (Azure DevOps, Git)
· Understanding of HIPAA/HITRUST compliance requirements for healthcare data
· Experience with Python or R for advanced analytics in Power BI
· Familiarity with data warehouse concepts & architecture
· Background in healthcare technology or regulated industries
· Experience with Agile/Scrum methodologies
· Knowledge of Tableau, Qlik, or other BI platforms
### The Person:
The successful candidate will be a detail-oriented BI professional who:
· Takes pride in creating intuitive, visually compelling reports that drive action
· Listens actively to stakeholders & translates needs into effective solutions
· Stays curious about data & asks thoughtful questions to uncover insights
· Balances technical excellence with practical business value
Enjoys teaching others & building self-service analytics capabilities

7931 - Data Engineer Data

Title: AI SRE — Job Description (Torchwood)

This role combines traditional SRE responsibilities with AI expertise, focused on ensuring the reliability and observability of AI platforms.

Are you looking for a career that makes a positive difference in your life and in the lives of learners and educators across the globe? Do you want to work with fun and social people in a positive and engaged virtual office environment?
We are hiring a Software Developer who will build and support reliable, high-capacity, and high-performing systems in support of our mission to reimagine learning for millions of students and learners worldwide. We call this work “Site Reliability Engineering.”

As a Site Reliability Engineer, you will work in a small team accountable for telemetry, cost, security, performance, and reliability in AWS infrastructure. You will collaborate in a DevOps model with product development teams—designing, deploying, and managing automation tools that increase predictability and time to market while reducing cost. If you love to build developer tools and automation, know AWS services inside out, have complex distributed systems experience, and like engineering software solutions to solve cloud-related problems, you will thrive in this position.

Our Stack

- Code: Python, JavaScript, PHP, Node.js, Go
- AI Platforms: OpenAI, AWS Bedrock
- RDBMS: PostgreSQL, MySQL
- NoSQL: DynamoDB
- Cache: ElastiCache (Valkey/Redis/Memcached)
- Containers: ECS & Docker
- Cloud: Amazon AWS
- Telemetry: New Relic (preferred), Datadog, CloudWatch
- Build: GitHub Actions (preferred), CircleCI (preferred), Jenkins (nice to have), GitHub Enterprise, and more
- Run: PagerDuty, Exigence
- Config Management & Provisioning: Puppet, Ansible (nice to have)
- Web: Apache HTTPD, Nginx
- Infrastructure as Code: Terraform (preferred), Serverless, CloudFormation

Your Contributions

AI‑Driven Automation & Agentic AI
- Leverage agentic AI technologies and intelligent automation to augment SRE workflows (anomaly detection, incident triage, root cause analysis, automated remediation).
- Innovate with AI‑powered agents to reduce manual toil and improve self‑healing capabilities.
- Continuously evaluate emerging AI/ML techniques to enhance operational efficiency and platform reliability.

Cloud Engineering
- Hands‑on design, analysis, development, and troubleshooting of highly distributed, large‑scale production systems and event‑driven, cloud‑native AI services.
- Ensure repeatability, traceability, and transparency of infrastructure automation (infrastructure‑as‑code, monitoring‑as‑code) tailored for AI/ML workloads.
- Participate in continual learning of the AWS ecosystem, game‑day scenarios, and professional conferences, with a focus on AI infrastructure innovations.
- Collaborate with development teams to architect scalable and resilient AI platform components within our software stack.
- Actively monitor AWS costs and utilize cost‑optimization tools to maximize ROI while maintaining strict Service Level Objectives (SLOs) for AI workloads.

Observability Engineering
- Own reliability, uptime, security, cost efficiency, operations, capacity planning, resiliency, and performance analysis of AI platform services.
- Define, monitor, and report on AI‑specific Service Level Indicators (SLIs) and SLOs to ensure trustworthy AI service delivery.
- Support on‑call rotations for operational duties, focusing on rapid incident resolution and automation of recurring issues through agentic AI and automation frameworks.
- Maintain and enhance telemetry systems that provide deep visibility into AI model performance, system health, and business‑impacting metrics.
- Develop and enforce standard observability processes and tooling to promote sustainable operational excellence of AI systems.

DevSecOps
- Promote healthy software development and deployment practices in AI/ML environments, aligned with agile methodologies and continuous delivery pipelines.
- Partner with Cybersecurity to develop and automate responses to emerging AI‑specific security risks and vulnerabilities.

Systems Engineering
- Collaborate with system administrators on middleware, networks, storage, databases, and virtualization maintenance—especially in support of AI infrastructure needs.
- Automate legacy on‑premises system maintenance and facilitate smooth migration to cloud‑native AI platforms.

Resiliency Engineering
- Work with development teams to identify AI system failure modes and potential blast radius to reduce risk exposure.
- Validate and continuously improve monitoring and observability configurations to capture AI system anomalies.
- Coordinate failure‑injection testing, including chaos engineering experiments specific to AI workloads.
- Observe and document steady‑state production behavior, growth patterns, and resource usage of AI services.
- Plan and forecast capacity needs to support AI platform growth; communicate trends to leadership; adapt scaling strategies for anticipated load increases.
- Drive improvements to software and infrastructure to meet resiliency and availability goals for AI systems.

Performance Engineering
- Enhance performance, availability, and scalability of AI platform infrastructure by troubleshooting servers, networks, hardware, and capacity bottlenecks.
- Plan, execute, and report on performance tests targeting AI model inference latency, throughput, and scalability.
- Tune systems for low latency and high throughput to meet AI service‑level objectives.
- Support load‑testing initiatives using tools such as Grafana k6, JMeter, and AI workload simulators to validate platform robustness under realistic conditions.

Qualifications
- Experience as a software engineer, with practical experience developing, debugging, and deploying enterprise applications, including AI/ML‑powered services.
- Proficiency with AI platforms and cloud AI services such as OpenAI APIs, AWS Bedrock, Anthropic Claude, and other large language model (LLM) frameworks.
- Experience managing and deploying AI models at scale, with understanding of LLM inference, fine‑tuning, and monitoring.
- Experience with infrastructure automation technologies like Terraform to provision and manage scalable AI infrastructure.
- Expertise in container and container‑fleet orchestration (e.g., ECS, Kubernetes, or equivalent), including running AI workloads in containerized environments.
- Versatility in troubleshooting diverse hosting technologies: web servers, application platforms, operating systems, networks, virtualization, storage, and databases.
- Expertise with continuous deployment lifecycles (CI/CD), including automating AI model deployments and platform updates.
- Cloud database operations and deployment experience (e.g., RDS MySQL/PostgreSQL/Aurora) supporting AI application data needs.
- Experience with application caching strategies and managing high‑concurrency workloads typical in AI inference pipelines.
- Proficiency with Lean/Agile deployment processes (blue/green, ZDT, canary) and traffic routing (load balancers, DNS strategies) for AI services.
- Familiarity with telemetry and observability SaaS systems such as New Relic, Datadog, or equivalent to monitor AI system health and performance.
- Hands‑on experience with New Relic products like APM, Synthetics, Infrastructure, Logs, Workloads, etc.
- Strong problem‑solving, root‑cause analysis, and systems engineering skills in complex, distributed AI environments.
- Excellent communication skills and ability to design/manage escalation response plans for AI service incidents, emphasizing proactive, customer‑focused, collaborative, and data‑driven approaches.
- Demonstrated expertise in building and managing highly scaled, reliable, and secure production infrastructure in cloud environments for AI platforms.

### Nice to Have
- Ability to translate effectively between development, operations, security, product, and management teams—a critical skill in cross-functional AI projects.
- Comfortable in polyglot environments; conversational or fluent in 2–3 of the following:
JavaScript/TypeScript, Python (especially popular for AI), PHP, Ruby, Golang, Java, Bash,
Markdown, reStructuredText, HCL, JSON, YAML, TOML.
- Familiarity with AI-specific tooling and frameworks (e.g., MLflow, Kubeflow, Seldon, or similar) is a plus.
- BS degree in Computer Science, a related technical field, or equivalent industry experience preferred.

7930 - Site Reliability Engineer Cloud, Infrastructure and ITOps

We are seeking a skilled and passionate Frontend Developer with a strong foundation in React and some experience with .NET. In this role, you will be primarily responsible for building and maintaining the user interface of our web applications. Your ability to create responsive, efficient, and visually appealing components in React will be crucial. Furthermore, your understanding of .NET will allow you to seamlessly integrate with our backend APIs and contribute to full-stack features, making you a key bridge between the frontend and backend teams.
#### **Key Responsibilities**
- **Frontend Development:** Develop new user-facing features using **React.js**, building reusable components and front-end libraries for future use.
- **UI/UX Implementation:** Translate UI/UX design wireframes from tools like Figma or Adobe XD into high-quality, responsive code.
- **State Management:** Implement and manage state using modern React patterns and libraries (e.g., Context API, Redux, Zustand).
- **API Integration:** Consume and interact with **RESTful APIs** built on the .NET framework. You will be expected to understand API contracts, handle data fetching, and manage asynchronous operations.
- **Collaboration:** Work closely with backend .NET developers to define API specifications, ensure data integrity, and optimize application performance.
- **Code Quality:** Write clean, documented, and testable code. Conduct code reviews and contribute to maintaining high development standards.
- **Technical Contribution:** Participate in the entire application lifecycle, focusing on coding, debugging, and troubleshooting.
- **Learning & Growth:** Stay up-to-date with the latest trends and best practices in frontend development and the .NET ecosystem.

#### **Qualifications & Skills**
**Must-Haves:**
- 3+ years of professional experience in frontend development.
- Proven, hands-on experience with **React.js** and its core principles (hooks, functional components, etc.).
- Strong proficiency in modern JavaScript (ES6+), HTML5, and CSS3.
- Demonstrable experience consuming RESTful APIs and working with JSON.
- Some professional or academic experience with the **.NET framework** (.NET Core/.NET 5+ preferred).
- Understanding of C# syntax and the ability to read and understand existing .NET controller code.
- Familiarity with version control systems, especially Git.
- Excellent problem-solving skills and a collaborative mindset.

**Nice-to-Haves:**
- Experience with TypeScript on the frontend.
- Familiarity with a CSS-in-JS library (e.g., Styled-Components, Emotion) or a CSS framework like Tailwind CSS.
- Knowledge of state management libraries such as Redux Toolkit.
- Experience with testing frameworks like Jest, React Testing Library, or xUnit/NUnit.
- Understanding of SQL and database principles.
- Experience with frontend build tools and pipelines (Webpack, Vite, etc.).
- Knowledge of Azure cloud services (or AWS/GCP).

7928 - React JavaScript

## JR 3469
**About This Job**
We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**
- Design, develop, and maintain automated test scripts for web and mobile applications.
- Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies.
- Execute manual and automated test cases, report bugs, and verify fixes.
- Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team.
- Monitor application performance and reliability across platforms.
- Contribute to continuous integration and continuous deployment (CI/CD) pipelines.
- Ensure compliance with security and regulatory standards in all testing activities.


**Qualifications**
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in software quality assurance, with a focus on automation.
- Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured.
- Experience testing both web UI and mobile applications (iOS and Android).
- Experience working with SQL databases for test data validation and backend verification.
- Exposure to low-code/no-code automation platforms such as Testim is a plus.
- Familiarity with AI fundamentals and AI usage in software testing
- Strong understanding of QA methodologies, tools, and processes.
- Familiarity with Agile/Scrum development practices.
- Excellent communication skills, with the ability to clearly articulate issues and collaborate across teams.
- Excellent problem-solving skills and attention to detail.
- Experience in the banking or fintech industry is a plus.

7923 - QA

**++Summary++**Our growing team is looking for experienced backend software engineer to help us build and maintain software systems in support of our business and partners.  If you are an experienced software engineer with a passion for good design and architecture, with great interpersonal skills we want you! The Sr Software Engineer will be responsible for providing support for contributing to new software development efforts on the most current .NET technology stack and Azure **++Responsibilities++**
- Create systems that are durable and flexible by developing for change – favor configurability over customization
- Create enterprise grade framework for engineers to leverage, with security, scalability
- Refactor and extend the existing codebase to fix defects and add features/functionality
- Architect and develop applications, workflows, and prototypes to meet the business’ needs
- Refine functional requirements and develop technical specifications
- Generate technical documentation to communicate architectural and design decisions
- Develop complete test plans, tests, and strong code coverage
- Resolve defects during QA testing, pre-production, production, and post-release cycles
- Communicate & collaborate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts

**++Education and Experience++**
- Bachelor’s degree in Computer Science or related field, Master’s degree a plus
- 7+ years of software development experience including
- Strong portfolio of work showing experience developing secure and standards-compliant code across multiple platforms. (Java, Microsoft stack as well as Open Source technology)
- Solid conceptual knowledge of design patterns and language agnostic design experience
- Test driven development mindset and strong discipline of writing extensive tests for every production code ship
- Experience with Cassandra or Cosmos DB or other NO SQL databases
- ​Experience with multi-tenant architectures in the SaaS space
- Fluent in several of the following languages/platforms/libraries: Java and .NET
- Strong understanding of API’s and web service concepts such as REST, SOAP, and XML/JSON business object representations
- Experience developing API's utilizing REST architecture
- Ability to handle a fast-paced environment for iterative project turnarounds on mission & revenue critical, customer-facing applications
- Experience with Agile development methodologies such as Scrum and Extreme Programming
- Git, Jira, Confluence experience
- Experience is queue based systems like RabbitMQ, MSMQ, Kafka, Event Hub is preferred.
- Knowledge of Relation databases like Oracle/SQL server.
- Experience in .Net Core, Azure is preferred

7914 - C# C#

7913 - C# C#

7912 - C# C#

7911 - C# C#

We are seeking a highly skilled Data Scientist with strong expertise in Python and CVXPY to join our team. The ideal candidate will have a deep understanding of mathematical optimization, and statistical modeling, and will apply these skills to develop and deploy data-driven decision systems.

Current financial projection modelling is handled by a long standing legacy excel spreadsheet that is fragile but contains a lot of the business rules and validations.

You will work closely with cross-functional teams—including engineering, research, and product—to design optimization models, perform complex data analysis, and deliver actionable insights that improve our products and operations.

Responsibilities
- Develop and implement optimization models using CVXPY and related convex optimization frameworks.
- Design and prototype predictive model in Python.
- Collaborate with backend and frontend developers to create a modular python library for use by the backend team.
- Analyze large datasets to identify patterns, trends, and actionable insights.
- Translate business challenges into mathematical formulations and computational models.
- Communicate results and methodologies effectively to both technical and non-technical stakeholders.
- Contribute to continuous improvement of data science methodologies and tools within the team.

Requirements
- Strong proficiency in Python, including packages such as NumPy, pandas, scikit-learn, and matplotlib.
- Hands-on experience with CVXPY for convex optimization problems (e.g., LP, QP, SOCP).
- Solid understanding of optimization theory, linear algebra, and numerical methods.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent written and verbal communication skills.

AI AI

7909 - AI AI

### **Senior Backend Developer (Node.js / Integrations / Twilio IVR)**
We are seeking a **Backend Developer** with **5+ years of experience** in building scalable backend systems and integrating third-party platforms. The ideal candidate has strong expertise in **Node.js** and **API integrations**, with hands-on experience or familiarity with **Twilio IVR** or similar communication systems.
#### **Key Responsibilities**
- Design and develop backend services and integrations using **Node.js**.
- Implement and maintain IVR or communication workflows using **Twilio** or similar platforms.
- Build and optimize APIs and data exchange between systems.
- Collaborate with frontend and product teams to deliver end-to-end features.
- Ensure code quality, reliability, and performance through testing and best practices.

#### **Requirements**
- **5+ years of professional backend development experience.**
- Strong proficiency with **Node.js** and RESTful API design.
- Experience with **Twilio IVR**, **SMS**, or related integration platforms preferred.
- Familiarity with **.NET**.
- Solid understanding of **cloud environments**, **CI/CD pipelines**, and **modern development practices**.

Node.js JavaScript

7904 - Node.js JavaScript

7903 - C# C#

Full Stack Web Developer
 
 Position Overview:
 
 We are looking for a Full Stack Web Developer to join our high performing engineering team that focuses on our award winning and industry leading media and learning products. You will work on an agile, outcomes-driven team and act as a trusted partner to the product owner and agile project manager. Reporting to the Director of Engineering, you will be developing world-class software that helps hundreds of thousands of learners improve their work life every day.

Position Responsibilities:
· Develop high-quality software design and architecture
· Identify, prioritize, and execute tasks in the software development life cycle
· Develop tools and applications by producing clean, efficient code
· Work cross-functionally to drive impact across the SDLC, collaborating with product managers to clarify requirements and break down work, reviewing code written by others, assisting with design for testability, and using data to drive decisions
· Contribute to the software engineering body of knowledge
· Ensure software is up to date with the latest technologies

Position Requirements:
· 3+ years of experience as a Full Stack Web Developer
· Experience building applications that conform to high standards for security and data privacy
· Experience with Writing cross-browser HTML, CSS, and TypeScript
· Experience with React-based frameworks/libraries
· Writing unit tests (Jest, React Testing Library)
· CSS preprocessors (Sass, Less)
· Developing accessible and responsive web pages
· Front-end tooling (Webpack, ESLint, NPM)
· Content Management Systems (CMS) integrations
· Experience in developing distributed web applications using Java 8/11/21 platform and frameworks such as Spring/Spring Boot and Hibernate.
· Working experience with relational databases (e.g., MySQL, Aurora)
· Working experience in developing RESTful APIs and application of microservices architecture
· Analytical mind with problem-solving aptitude
· Experience developing applications on AWS cloud and good knowledge of various AWS services (e.g., Cloudfront, Beanstalk, Lambda, S3, SQS, SNS, ECS/ECR)
· Experience using system monitoring tools (e.g., New Relic, Splunk) and automated testing frameworks
· Hands-on experience with containerization technologies (e.g., Docker) and CI/CD pipelines (e.g., Jenkins).
· Good understanding of the software development lifecycle
· Ability to work independently
· Excellent organizational and communication skills

You’ll stand out if you have:
· Advanced skills developing complex web applications using React
· Familiarity with Adobe Target, Analytics, and Tag Manager
· Understanding of internet-based media distribution solutions, video streaming standards and interactive media formats

Java Java

7901 - Java Java

### Full-stack Ruby/React Web Software Engineer
**Requirements:**
- 7+ or more years of professional experience specializing in back-end development with large companies
- Extensive experience with React
- Extensive experience with Ruby on Rails and scaling Rails with PostgreSQL databases
- Extensive experience with GraphQL APIs including: Apollo, schema design, and best practices
- Extensive experience with REST APIs and API data integration between services
- Experience with performance optimization of APIs and modern web systems
- Experience with Kafka, Redis, and consuming or emitting messages to communicate across systems
- Experience with git workflows, GitHub, and pull request reviews
- Understanding of the resilient distributed service architecture model
- Strong collaboration skills, including partnering with designers, and other engineers across web and mobile
- Strong communication skills, both verbal and written, with the ability to articulate effectively across technical and non-technical partners
- Strong analytical skills

**Nice to haves:**
- Experience with Circle CI or similar CI tooling and automation
- Experience with Datadog or similar cloud monitoring and observability tool
- Experience with Bugsnag or similar error monitoring and reporting tool
- Experience working with feature flags or gated features

7895 - Ruby Ruby

We are looking for a seasoned Devops Platform Kubernetes Engineer to join our high-impact Cloud Infrastructure Engineering division. Our team is responsible for ensuring the continuous availability, scalability, and security of the technologies and systems that power the clients critical medical office services. We manage thousands of servers, petabytes of storage, and handle massive volumes of web requests, all while keeping pace with explosive growth. Our work directly contributes to the mission of simplifying healthcare administration for doctors.
**Who You Are:**
- A passionate and experienced engineer with a proven track record of identifying and resolving reliability and scalability challenges in large-scale, containerized applications.
- A curious and collaborative team player who thrives in a fast-paced environment, eager to explore, learn, and continuously improve processes, particularly around Kubernetes deployments and management.
- An efficiency enthusiast, skilled at automating solutions and relentlessly pursuing innovative approaches to container orchestration and management.
- A nimble learner capable of quickly grasping complex Kubernetes concepts and an excellent communicator who can effectively advocate for best practices in Kubernetes operations.

**The Cloud Infrastructure Engineering Team:**
Our team consists of passionate Platform eng & SREs dedicated to reliability, automation, and scalability. We leverage an agile framework to prioritize the most critical business needs and utilize both private and public cloud solutions based on data-driven decisions. We are relentless in automating repetitive tasks to free ourselves for impactful projects that propel the business forward. In particular, we are focused on leveraging Kubernetes to ensure efficient and reliable deployment of our containerized applications.
**Primary Responsibilities:**
- **Deploy, Manage, and Automate (Kubernetes Focus):** Design, deploy, and manage highly available and scalable Kubernetes clusters on AWS EKS using Terraform and/or Crossplane. Implement infrastructure as code (IaC) best practices for managing EKS clusters and related infrastructure.
- **Kubernetes Expertise:** Configure and maintain Kubernetes deployments, services, ingresses, and other resources using YAML manifests or GitOps workflows. Implement and utilize GitOps practices with FluxCD for automated deployments and configuration management of containerized applications.
- **Ensure Reliability & Scalability:** Proactively ensure the reliability, security, and scalability of AWS production systems, with a particular focus on Kubernetes clusters and containerized applications.
- **Problem-Solving Expertise:** Resolve problems across multiple platforms and application domains, including those specific to Kubernetes environments and containerized applications, using advanced system troubleshooting and problem-solving techniques.
- **Operational Support:** Provide primary operational support and engineering expertise for all cloud and enterprise deployments, with a focus on Kubernetes deployments.
- **Performance Monitoring:** Monitor system performance, identify downtime incidents, and diagnose underlying causes, with a specific focus on Kubernetes cluster and container health.
- **Cost Optimization:** Design and develop cost-effective systems within allocated budgets, considering the optimization of Kubernetes deployments.

**Secondary Responsibilities:**
- **Collaboration:** Collaborate effectively with developers, testers, and system administrators to ensure smooth deployments and operations of containerized applications on Kubernetes.
- **Process Improvement:** Champion the implementation of new processes, tools, and methodologies to enhance efficiency throughout the software development lifecycle (SDLC) and pipeline management, particularly for containerized application deployments.
- **Security Integration:** Integrate robust security measures into the development lifecycle, considering the specific security requirements of containerized      applications.

**Typical Qualifications:**
- 10+ years of experience building, scaling, and supporting highly available systems and services.
- 5+ years of experience managing and operating Kubernetes clusters in production..
- Proven experience in building and managing AWS platforms, with a strong focus on Amazon EKS (Elastic Kubernetes Service).
- In-depth knowledge of Kubernetes architecture, core concepts, best practices, and security considerations.
- Expertise in infrastructure as code (IaC) tools like Terraform and Crossplane.
- Familiarity with GitOps principles and experience with GitOps tools like FluxCD (a plus).
- Proficiency in at least one scripting or programming language (e.g., Python, Go, Ruby, Shell).
- Experience implementing solutions using SRE and DevOps principles, continuous integration & continuous delivery (CI/CD), and source code management tools (e.g., version control systems like Bitbucket or GitHub).
- Familiarity with telemetry, observability, and modern monitoring and visualization tools (e.g., Prometheus, Alertmanager, Grafana, or similar) with a focus on Kubernetes monitoring.
- Expertise in promoting and driving system visibility to facilitate rapid detection and resolution of issues, particularly within Kubernetes clusters.

**Behaviours & Abilities Required:**
- A strong ability to learn and adapt in a fast-paced environment, particularly as Kubernetes and container orchestration technologies continue to evolve.
- Excellent teamwork skills, with the ability to collaborate effectively on a cross-functional team with diverse experience levels, including developers, testers, and system administrators.
- Strong prioritization skills, managing both individual workload and team needs, while ensuring efficient delivery of containerized applications.
- Excellent negotiation and problem-solving skills, adept at troubleshooting complex issues within Kubernetes environments and containerized applications.
- The ability to manage multiple projects simultaneously and keep projects on track by providing regular progress updates.
- Ability to context-switch effectively and handle unexpected situations.
- Willingness to participate in rotational on-calls or work shifts to ensure continuous monitoring and support of Kubernetes clusters and containerized applications.
- A strong work ethic and a commitment to continuous learning and improvement in the field of Kubernetes and container orchestration.

7894 - DevOps Cloud, Infrastructure and ITOps

**Summary**
We are seeking a senior level data engineer or data architect to lead the design and implementation of a modern AWS lakehouse for a data rich enterprise. The role requires deep technical ownership, hands on delivery, and the ability to work with business stakeholders to catalog data, design an end state medallion architecture, and build production grade ingestion and transformation pipelines. The successful candidate will move the organization toward a governed, high quality, analyst friendly platform that supports downstream analytics and machine learning.

MDM Strategy & Design
- Define MDM Strategy: Establish and govern the MDM strategy, roadmap, and architecture for domains like Customer, Product, and Vendor.
- Data Model Design: Create conceptual, logical, and physical data models for MDM solutions, ensuring clear data lineage and governance.
- Data Cataloging
- Technology Selection: Evaluate and select appropriate MDM tools and technologies.
- Integration Architecture (A2A): Design scalable A2A integration architectures using API, messaging, and ETL/ELT patterns, setting standards for data integration, security, and performance.
- Data Governance & Quality: Collaborate with governance teams to define data standards, policies, and quality rules; design systems for continuous data quality monitoring and remediation.

Data Engineer Responsibilities (Hands-on Implementation)
- Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and loading into MDM hubs and analytical platforms; optimize real-time and batch A2A integrations.
- MDM Implementation: Configure and test MDM platform components (e.g., matching rules, survivorship logic, data quality checks); develop custom connectors for master data synchronization.
- Cloud & Big Data Tools: Implement solutions using cloud-native services (e.g., AWS,) like Kafka, Snowflake, Spark, and managed databases; write maintainable code in Python or Scala.
- Automation & Monitoring: Apply CI/CD and IaC for data pipelines; set up monitoring and alerting for data quality, pipeline performance, and integration health.
- 
Desired Qualifications
- Education: Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or a related quantitative field.
- Experience: 5+ years in Data Architecture and hands-on Data Engineering.
- Technical Stack:
    - Expert in Pyspark or Scala.
    - Proficient in SQL and relational/NoSQL databases.  ( Mongo, ElasticSearch,MySQL, Manticore )
    - Hands-on with cloud platforms (AWS,) and ETL
    - Airflow
    - Hadoop
    - Hive
    - Spark
    - AWS Glue
    - EMR

7892 - Data Engineer Data

In this role, you will be the linchpin of the product – the technical expert for the product, sales, marketing and business teams and the product expert for the technical teams. By combining intimate knowledge of customers, strong analytical skills, and technical acumen, you will drive a holistic product vision that energizes your teammates and delights your customers.

As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you grow in a collaborative environment where everyone shares a passion for success.
Even if you are not currently looking for a change, we encourage you to apply now and speak to the hiring manager to learn about the opportunity.

**What you'll need to be successful?**

Product engineering background to support development of B2B and B2C products Strong experience in building responsive, accessible, and high-performance web-based products using Angular, HTML/CSS. Ability to create intuitive and visually appealing user interfaces that enhance the learning experience.
Comfortable working across various layers of the software stack, including frontend, backend, and database.
Experience with one or more observability platforms to monitor the health of the products Experience with cloud-based architectures and services.
Eagerness to learn new technologies and continuously improve your skills. Commitment to delivering high-quality code and maintaining product excellence.

**What you'll be doing?**

Build web-based responsive learning tools that will be used by millions of learners and educators
Work with engineers, product managers, designers, sales and marketing managers to build products that the customers love to use
Be responsible for end-to-end delivery (tech design, development and testing) and maintenance of our products
Manage the entire software development life cycle using infra and monitoring as code Work with a talented group of engineers who believe in extreme ownership

**What are the required technical skills?**

A bachelor's Degree in Computer Science or 5+ years of equivalent experience is required. 
Experience with the following technologies is required:
Angular Framework (latest versions, v15+)
JavaScript/ES6 Typescript HTML5 and CSS3
CSS preprocessors (SASS/SCSS, LESS)
CSS frameworks (Bootstrap, Angular Material, Tailwind) Responsive design and mobile-first development
Java (latest versions, v13+) Spring Boot
RESTful Services CI / CD pipeline AWS services
Docker / Containerization Databases
Distributed Caching Tomcat Observability
Terraform (Nice to have)
Golang (Nice to have)


**Must Have for this role:**
- We are looking for a Senior Engineer 5+ years of experience in development.
- Looking for a more into frontend development with **solid experience in Angular/Angular Development.**
- Not looking for a candidate who has most experience in ReactJs and Backend development.
- This person will be working with the cross – functional teams and who can take a lead and help the development teams.
- Candidate should have the strong communication skills as they will be working with the leadership team.
- If they  have some sort of prodcution support experience is a plus.

**Must have:**
- Angular Framework (latest versions, v15+)
- JavaScript/ES6 Typescript HTML5 and CSS3
- CSS preprocessors (SASS/SCSS, LESS)
- CSS frameworks (Bootstrap, Angular Material, Tailwind) Responsive design and mobile-first development.

**Nice to have:**
- Java (latest versions, v13+) Spring Boot
- RESTful Services CI / CD pipeline AWS services
- Docker / Containerization Databases
- Distributed Caching Tomcat Observability
- Terraform.

**Interviews:**
- 2 rounds of interviews will be conducted.
- One with the hiring manager.
- Panel interview with the TPM team.



Angular 2+ JavaScript

7884 - Angular 2+ JavaScript

**About the Role**

In this role you will have the chance to build large additions to our platform ecosystem, contributing to an infrastructure that centralizes our ETL and streaming infrastructure, enables experimentation and data development, and powers algorithm development. You will design and build scalable engineering solutions to solve business and data problems.

**Core tech stack used by this role:**
- S3 using Parquet and Iceberg for data storage
- Hive and Iceberg REST catalog as our metadata store
- Spark (Python, SQL, Scala) for data transformation
- Go, Scala and Java for backend development
- Kafka for data streaming
- Kubernetes and Helm for service deployments
- AWS IAM for access control
- Datadog for logging alerting and monitoring
- Trino as our federated query engine

**You’re excited about this opportunity because you will get the chance to…**

- Identify, develop, and evangelize tooling, approaches, and data products that raise the bar of validity in experiment design and analyses across the company
- Collaborate with multiple teams and functions to deliver deep-dive analyses and experiment design for new initiatives and high-priority business areas
- Develop and iterate on our processes to empower more efficient and rigorous experimentation


**We’re excited about you because…**

- You have a degree in an engineering or computer science field
- You have 3+ years of work experience in platform engineering, with experience on experimentation platforms
- You have experience coding at a production level in Python, Go, and Scala or Java
- You’ve built and supported RBAC systems used by enterprise-wide teams
- You have experience supporting Iceberg-based data warehouses

7874 - Data Engineer Data

## **JR3457 - (AI)**
### **Summary**
We are seeking an experienced AI/ML Engineer to drive the strategy, design, and implementation of AI agents that enhance operational efficiency across the organization. This role is primarily focused on AI/ML leadership (80%), with a secondary emphasis on backend API development (20%). The successful candidate will set technical direction, guide cross-functional teams, and ensure the scalable integration of AI-driven workflows, while also remaining hands-on in building and refining tools as needed.
### **Core Responsibilities**
- Lead the strategy and technical roadmap for AI agent development and deployment.
- Design, implement, and scale intelligent agents to automate and optimize business processes.
- Partner with data science and engineering teams to ensure seamless integration of AI workflows into existing systems.
- Establish best practices for AI development, architecture, and workflow orchestration.
- Provide technical leadership and mentorship across engineering and data science teams.
- Occasionally contribute hands-on by building prototypes, agents, or API integrations in Python.
- Support CI/CD pipelines and backend workflows to ensure reliable, production-ready deployment of AI systems.
- Act as a thought leader for AI adoption across the organization, ensuring alignment between strategy and execution.

### **Required Skills**
- Deep expertise in AI/ML agent design, architecture, and scaling.
- Strong proficiency in Python, with the ability to develop tools, workflows, and integrations.
- Experience with LLMs, AI frameworks, and workflow orchestration platforms.
- Solid understanding of application/system architecture and backend APIs.
- Familiarity with CI/CD pipelines, ideally with GitHub Actions or equivalent.
- Proven track record of technical leadership, setting strategy, and guiding multi-disciplinary teams.

### **Preferred Skills**
- Experience deploying AI solutions in enterprise or operational environments.
- Knowledge of vector databases, retrieval-augmented generation (RAG), and agent frameworks.
- Background in cloud environments.
- Exposure to monitoring, evaluation, and continuous improvement of AI systems.
- Strong communication and cross-functional collaboration skills.

### **Education & Experience**
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- 8+ years of professional experience in software engineering, with 5+ years in AI/ML-focused roles.
- Demonstrated leadership experience driving AI/ML strategy and scaling intelligent systems.

7873 - AI AI

Hours: Standard CST day shift, would include some holiday and weekend coverage
**POSITION SUMMARY**
The Security Operations Center (SOC) Analyst I will be part of a team responsible for monitoring, analyzing, and responding to security events across the organization. This entry-level position focuses on triaging alerts, escalating incidents as needed, and assisting with investigations to protect the organization’s systems and data. The analyst will work under the guidance of senior team members, gaining exposure to enterprise security tools, processes, and best practices.
**DESCRIPTION**
**Duties and Responsibilities**
•  Monitor security alerts from SIEM, endpoint protection, email security, and other security tools.
•  Perform initial triage of potential security incidents and escalate according to established procedures.
•  Assist with phishing analysis, malware triage, and basic threat hunting activities.
•  Document security events, investigations, and remediation steps in ticketing systems.
•  Collaborate with IT and security teams to validate findings and improve detection capabilities.
•  Follow SOC playbooks and standard operating procedures to ensure consistent response actions.
•  Participate in ongoing security training to maintain awareness of emerging threats.
**Qualifications and Education Requirements**
•  Associate’s or Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related field; or equivalent experience.
•  Foundational knowledge of security concepts, operating systems, and common attack methods.
•  Familiarity with SIEM, endpoint protection platforms, and email security solutions preferred.
•  Relevant certifications such as CompTIA Security+, CEH, etc.
**Skills, Abilities, and Knowledge**
•  Attention to detail in documentation and reporting.
•  Eagerness to learn and adapt in a fast-paced security operations environment.
•  Strong analytical and problem-solving skills.
•  Ability to follow processes, escalate appropriately, and work collaboratively in a team environment.

Security Analyst Cloud, Infrastructure and ITOps

7869 - Security Analyst Cloud, Infrastructure and ITOps

**FRONTEND ENGINEER**

Join the Digital Transformation team and play a pivotal role in driving innovative digital solutions by combining your expertise in frontend development using React.
This role offers a unique opportunity to contribute to cutting-edge education solutions at the intersection of technology and world-class education.

**Technical Skills**

• Experience in building scalable, user-centric UI frameworks and design systems
• Strong understanding of modern web standards including HTML, CSS, JavaScript, Web Components, REST API, TypeScript, and Responsive UI design
• Knowledge of cloud technologies and end-to-end delivery of data-intensive SaaS products
• Hands-on experience with React, Next.js
• Understanding of CI/CD practices and tools
• Excellent verbal and written communication skills
• Passion for UX consistency, accessibility, and empathetic design principles

**Responsibilities:**

• Provide expert guidance and support to team members regarding accessibility best practices and solutions
• Stay updated on evolving accessibility standards and incorporate new practices into development processes
• Prioritize and triage accessibility issues based on severity, impact, and project timelines
• Maintain comprehensive documentation of accessibility standards, testing procedures, and compliance efforts
• Develop and execute tests to validate accessibility functionality and ensure ongoing compliance
• Collaborate cross-functionally with backend engineers, designers, and product managers to integrate accessibility features seamlessly

**Required Skills**

• You have at least 5+ years of software engineering experience, including at least 3 years experience in a front end focused role.
• You have hands-on experience building responsive web applications using modern component frameworks like React
• You have experience working with scalable, secure, performant services in Python, or a similar language
• You like working with Backend teams to create well-documented, ergonomic APIs for web and mobile applications to consume
• You know how to partner with Product, Design, QA and other Engineering Leaders to build compelling products in an Agile environment.
• You are a fan of rapid iteration and experimentation. You think about failures as a learning opportunity.
• Highly proficient in Next.js 14+ (App Router), including expertise in data caching strategies and performance optimization.
• Demonstrates proficiency in various UI rendering architectures (SSR, CSR, SSG, ISR) and the ability to determine their appropriate application.
• A proven expertise in designing and implementing robust UI solutions using TypeScript, with a strong focus on applying comprehensive typing throughout the stack to deliver maintainable and highly reliable user experiences.

**Nice to Have Skills**

• Experience with AWS

7863 - React JavaScript

**Lead Software Engineer**
We’re looking for a **hands-on Lead Software Engineer** to lead and actively contribute to development of our Django/Python and React applications (LTI tools integrated with Canvas LMS). The ideal candidate has experience guiding small teams, architecting web applications, and managing AWS-hosted infrastructure. Responsibilities include technical leadership, code review, coordinating releases, and directly contributing to both application and infrastructure work (AWS, CI/CD, etc.).
Key Skills:
- Advanced Python/Django, React
- LTI/Canvas LMS integration
- AWS infrastructure (RDS, ECS, etc.)
- DevOps practices (CI/CD, monitoring)

Python Python

7838 - Python Python

JR3289
---
**About This Job**
We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.
- Design, develop, and maintain automated test scripts for web and mobile applications.· Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies.· Execute manual and automated test cases, report bugs, and verify fixes.· Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team.· Monitor application performance and reliability across platforms.· Contribute to continuous integration and continuous deployment (CI/CD) pipelines.· Ensure compliance with security and regulatory standards in all testing activities.

7825 - QA

**Pending JRR**

**Job Description – Senior/Principal Security Engineer (Application Security Tools & Incident Response)**
We are seeking a **Senior or Principal Security Engineer** with deep, hands-on expertise in **application security platforms** and **incident response leadership**. This role is ideal for a seasoned professional who thrives in high-stakes environments, takes ownership of critical security tooling, and leads the charge during application-layer attacks.
You will be responsible for the **operation, optimization, and continuous improvement** of our WAF, bot defense, API security, and application testing platforms. You will also serve as the **incident commander** for web and application-layer security events, ensuring rapid containment, root cause analysis, and long-term remediation.
The Security Engineer will also serve as the **incident response lead for application-layer attacks**, participate in the **on-call rotation**, and work primarily during **Pacific Time (PT) business hours** to align with our operations.
**Key Responsibilities**
**Application Security Tooling**
- Own and administer **Cloudflare WAF**, including custom rule sets, tuning, and policy lifecycle management.
- Manage and optimize **bot defense platforms** (e.g., **F5/Shape**, **Arkose Labs**) to mitigate automated threats such as credential stuffing, scraping, and fraud.
- Develop, maintain, and enhance **Cloudflare Worker scripts** to support bot defense operations and ensure seamless integration with security controls.
- Operate and tune **API security solutions** (e.g., **Traceable**, **Salt Security**) for visibility, anomaly detection, and protection.
- Integrate and manage **DAST/SAST platforms** within CI/CD pipelines, ensuring actionable and prioritized findings.
- Continuously evaluate and improve the effectiveness of security tools with minimal business disruption.

**Incident Response Leadership**
- Serve as the **primary incident lead** for application-layer attacks, coordinating across engineering, product, and business teams.
- Participate in a **24x7 on-call rotation**, with a focus on rapid detection, triage, containment, and recovery.
- Conduct post-incident reviews, root cause analysis, and drive remediation and hardening efforts.
- Develop and maintain playbooks, runbooks, and detection logic for application-layer threats.

**Qualifications**
**Required**
- 7+ years of experience in **application security**, **DevSecOps**, or **security engineering** roles.
- Proven experience managing **WAFs**, **bot mitigation**, and **API security** platforms in production environments.
- Hands-on experience with **Cloudflare Workers** or similar serverless edge scripting technologies.
- Strong understanding of **OWASP Top 10**, **application-layer attack vectors**, and **secure SDLC** practices.
- Demonstrated leadership in **incident response**, including real-world experience handling web application attacks.
- Excellent communication and cross-functional collaboration skills.

**Preferred**
- Experience with:
- **Cloudflare WAF**
- **F5/Shape**, **Arkose Labs**
- **Traceable**, **Salt Security**, or similar API security tools
- **Veracode**, **Burp Suite**, **OWASP ZAP**, or similar DAST/SAST tools
- **Familiarity with CI/CD pipelines, DevOps tooling, and cloud-native architectures**
- **Certifications such as:**
- **GIAC GWAPT**, **GWEB**, **OSWE**, **OSCP**, or **CISSP**
- **Experience working in regulated industries (e.g., financial services, healthcare)**

**What Success Looks Like**
- **Security tools are well-tuned, low-friction, and high-impact.**
- **Application-layer incidents are contained quickly, with clear communication and effective remediation.**
- **You are seen as a trusted advisor and technical leader across security and engineering teams.**

7821 - Site Reliability Engineer Cloud, Infrastructure and ITOps

# Summary
We are seeking a highly experienced Senior / Lead Software Engineer with a strong background in AI/ML and production-grade software development. This role will be central to building and scaling our retrieval-augmented generation (RAG) system, graph-based knowledge storage, and robust, production-ready AI/ML services.
The ideal candidate combines deep AI/ML expertise with the ability to deliver production-level code, own a service end-to-end, and turn product requirements into measurable, reliable deliverables. You will collaborate across product and engineering teams, driving experimentation while ensuring our systems are scalable, cost-conscious, and aligned with business goals.

Our tech stack includes Python (FastAPI, sentence transformers, LLM integration), Neo4j for graph knowledge, AWS, Rails, microservices, and a React-based UI.
## What You’ll Do
- Lead design and experimentation on retrieval-augmented generation (RAG) approaches for question answering over a Neo4j graph knowledge base.
- Build production-level AI/ML services (beyond prototype notebooks), ensuring scalability, reliability, and cloud efficiency.
- Develop and refine evaluation frameworks (test sets, failure mode analysis, LLM-as-a-judge rubrics, trustworthiness metrics).
- Implement strategies to handle conflicting, incomplete, and time-sensitive information in the knowledge system.
- Own one or more services: independently translate product requirements into technical solutions and deliverables.
- Collaborate with product and engineering teams to validate feasibility, de-risk system architecture, and ensure strong ML foundations.
- Support ingestion of unstructured data into structured formats (document ingestion, relationship extraction, similarity search) for graph-based querying.

## Required Qualifications
- 8+ years of professional or research experience in software engineering and applied machine learning.
- Proven ability to write **production-level code in Python**, ideally with frameworks such as FastAPI.
- **Must have hands-on experience.**
- Deep expertise in AI/ML, LLMs, and retrieval systems, with a track record of delivering real-world systems.
- Experience with graph databases is important.
- Experience building and maintaining scalable services in cloud environments, with consideration for cost and resource efficiency.
- Strong background in system evaluation and experimentation.
- Excellent collaboration and **communication skills**, able to bridge research and engineering teams.
- Demonstrated leadership skills with experience owning and delivering services.
- **Leadership experience is required because we need someone who can take ownership of the project, drive execution, and work towards goals defined by Product with a strong sense of accountability.**
- **The role is less about having direct reports, and more about demonstrating the ability to lead through influence, ownership, and delivery.**
- **Product Engineering Experience is important.**

## Preferred Qualifications
- Experience with Neo4j or other graph databases.
- Familiarity with AWS services such as S3, SageMaker, and Bedrock.
- Background in verification workflows or trustworthiness in AI/ML.
- Experience working in product-driven environments and scaling proof-of-concepts into production.
- Familiarity with microservices architectures.

## Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. A PhD in AI/ML is a plus but not required.

7817 - AI AI

JR3292 - Data Governance SME - Data Engineer



**About This Job**
The Data Governance Specialist plays a critical role in ensuring the integrity, security, and compliance of enterprise data assets. This role supports the development and enforcement of data governance policies, procedures, and standards to improve data quality, security, and accessibility across the company. The Data Governance Specialist is expected to collaborate with business and technical stakeholders to ensure data lifecycle is managed effectively across the organization.

The Data Governance Specialist plays a critical role in ensuring the integrity, security, and compliance of enterprise data assets. This role supports the development and enforcement of data governance policies, procedures, and standards to improve data quality, security, and accessibility across the company. The Data Governance Specialist is expected to collaborate with business and technical stakeholders to ensure data lifecycle is managed effectively across the organization.

**++Job Description++**

**Collaboration & Stakeholder Engagement**Partners with Data Stewards, BU Data Owners, CISO, CDO, Chief Architect and Compliance groups to align data governance initiatives with business objectives.Conduct technical training sessions to promote data governance awareness across the organization.Operate as a spokesperson for Business Units and SME for Data Governance Technology teamSupport DG Council and working groups by providing analysis, reports, insights and recommendations.Participate and support any Data Governance / Data Management Internal, External and Regulatory audits

**Data Governance and Policy Management**Support the development and maintenance of Enterprise Data Governance policies, standards, and proceduresFacilitate adoption of Data Governance principles/ technology across Business unitsLead Governance Model and Framework initiatives

**Technology & Tools Support**Assist in the implementation and maintenance of data governance tools.Support Data lineage, Data cataloging, and Master Data Management (MDM) initiatives.

**Data Quality & Integrity**Define and enforce data quality rules, metrics, and processes to improve data accuracy and consistency.Collaborate with data owners and stewards to layout & lead the processes and procedures to resolve data quality issues.Conduct data profiling and audits to identify anomalies and inconsistencies.

**Metadata Management & Data Cataloging**Envision, Create, Maintain and Enhance enterprise data dictionaries, data lineage, and metadata repositories.Assist in classifying and cataloging data assets to enhance discoverability and usability.Troubleshoot data governance related system issues or outages; determine root causes and resolve issues.Enable self-service discovery of trusted data/ business assets

**++Required Key Knowledge Skills/ Experience++**
- Comfortable working in a Scrum/Agile Environment
- Superior problem-solving skills, self-motivation, and the capacity to work under pressure and tight deadlines
- Strong customer focus, excellent problem solving and analytical skills
- Excellent communication and stakeholder management abilities.
- Ability to work independently under minimal supervision and strong track record of setting and meeting delivery commitments
- Capable of setting aggressive goals and pre-define KPIs for self and team members alike

**++Desired Career Experience++**
- 3+ years of experience in data governance, data management, data quality, or a related role.
- Hands-on experience with data governance tools (e.g., Collibra, Alation, Informatica Axon, Talend).
- Experience across DG, DQ, MDM, Responsible AI, MLOps, FinOps, etc.
- Certifications in data governance or data management (e.g., CDMP, DCAM).
- plies new data engineering skills and technologies.

**++Education requirements++**
- Bachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field

Data Governance Analyst Data

7796 - Data Governance Analyst Data

**JR3527**
**--**
**About This Job**
Supports the enterprise-wide migration to GitHub Enterprise by designing, implementing, and maintaining CI/CD pipelines using GitHub Actions and Azure DevOps YAML (where required). Collaborates with development teams to onboard repositories efficiently, implement Docker-based builds on RHEL 9 on-prem runners, and deploy Angular frontends and .NET Web APIs. Ensures standardization, automation, and security of workflows while enabling teams to take ownership of their pipelines for long-term sustainability.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

7784 - Site Reliability Engineer Cloud, Infrastructure and ITOps

**Lead Go Developer**
**Technical Expectations**
**Hard Skills**
● 7 years, in Software Engineering or a related Engineering field
● Experience creating REST or REST-like API’s
● Proficient with Goroutines, Go channel patterns, and concurrency, and pointers.
● Experience working in a distributed cloud-based system.
● Experience working with different SQL and NoSQL variants. PostgreSQL and Redis preferred.
● Experience with ORM tools like SQLC
● Kafka or other streaming/messaging experience
● Identity management experience such as OAuth, SAML, LDAP
● “Idiomatic” Go
● Experience writing/running unit tests
● Previous experience with 3rd party integrations
● Experience with monitoring and tracing

**Nice to have:**
● Temporal/Workflow Orchestration
● Background Processing such as River/Goworker

**Senior Software Engineer minimum expectations plus the following:**
● Experience working remotely (accountability, self-starter, good written communication and ability to work through blocks)
● Leads teams, designs projects with larger complexities.
● Responsible for training and directing any less experienced people on their team.
● Experience with multiple programming languages: Ruby/Rails would be the best secondary language/framework with Python also being a good segue to Ruby
● Experience with supporting and troubleshooting live systems.
● Leads technical discussions.
● Actively keeps abreast of latest technologies and frameworks.
● Can identify technical debt and create a plan to combat it.
● Can refactor and implement architectural patterns within an application.
● Experience with Application Performance Management (APM).
● Experience in working closely with product stakeholders to assist with requirements gathering, story creation and work estimation.
● Can ensure user stories are properly defined and reviewed from a technical standpoint.
● Experience in running agile practices in lieu of a Scrum Master.
● Influences usage of automated testing as a first-class concern.
● Works with stakeholders to ensure projects have adequate test and rollout plans

**Soft Skills**

Collaboration & Teamwork
● Contributes to team discussions when appropriate, supports team decisions, helps out where possible.
● Encourages participation from other employees.

Communication
● Communicates clearly, professionally and in a timely manner in both verbal and written form with internal and external stakeholders.
● Is experienced and comfortable working directly with clients.
● Can communicate bad news when necessary.

Continuous Improvement
● Comfortable and familiar with giving and receiving feedback, in the context of both code reviews and interpersonal professional development.
● Furthers tech interests by attending meetups, workshops, events and/or watching conference talks and/or reading material online.

Continuous Delivery
● Delivers value early and often
● Reduces Risk by introducing changes slowly through concepts like feature flags, canary builds, and other approaches.

Curiosity
● Continual learner, enjoys learning, asks why.

Customer Focus
● Strives to exceed the expectations and requirements of internal and external customers, without over engineering or succumbing to scope creep.
● Acts with customers in mind and values the importance of providing high quality customer service.
● Makes clients aware of pitfalls within designs.

Prioritization
● Priority decisions will usually be right, sometimes adjusted with leadership input.
● Ability to adopt a methodical approach, managing multiple tasks simultaneously whilst maintaining a high level of accuracy in all work carried out.

Problem Solving
● Can decompose issues and pick the most efficient and effective approach within the given circumstances, is tool-agnostic.

Supervision
● Works independently with minimal oversight, seeks input when needed from Principals.
● Can oversee the work of others.

Working Within Ambiguity
● Proficient, moves through uncertainty toward action, will act with incomplete information while also taking steps to fill in the blanks.

Understands Vision and Architecture
● Understands longer term vision and can iterate systems toward a vision through smaller incremental changes
● Works with existing Principles and/or Architects to ensure vision is realized.

7782 - Go JavaScript

**JR3233**
**---**
**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.

**What We’re Looking For**
We are seeking a Quality Engineer with a strong background in testing web and mobile applications, particularly in the online banking domain. The ideal candidate will have hands-on experience with automation frameworks—either UI or API—and a passion for delivering high-quality, secure, and user-friendly digital banking experiences. Experience with low-code/no-code automation platforms like Testim is a plus. You’ll be joining a fast-paced quality engineering team that values precision, collaboration, and continuous improvement.

**Responsibilities**
- Design, develop, and maintain automated test scripts for web and mobile applications.
- Collaborate with developers, product managers, and other quality engineers to understand requirements and define test strategies.
- Execute manual and automated test cases, report bugs, and verify fixes.
- Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile team.
- Monitor application performance and reliability across platforms.
- Contribute to continuous integration and continuous deployment (CI/CD) pipelines.
- Ensure compliance with security and regulatory standards in all testing activities.


**Qualifications**
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in software quality assurance, with a focus on automation.
- Proficiency in at least one area of automation: UI automation using frameworks like Selenium or Cypress, mobile automation using Appium, or API automation using tools such as Postman or RestAssured.
- Experience testing both web UI and mobile applications (iOS and Android).
- Experience working with SQL databases for test data validation and backend verification.
- Exposure to low-code/no-code automation platforms such as Testim is a plus.
- Familiarity with AI fundamentals and AI usage in software testingStrong understanding of QA methodologies, tools, and processes.
- Familiarity with Agile/Scrum development practices.
- Excellent communication skills, with the ability to clearly articulate issues and collaborate across teams.
- Excellent problem-solving skills and attention to detail.
- Experience in the banking or fintech industry is a plus.

7778 - QA

**About the Role**
In this role you will have the chance to build large additions to our data engineering framework, contributing to an infrastructure that centralizes ETL logic and metric definitions. You will have autonomy to design and build scalable data engineering solutions to solve business and data problems.

**You’re excited about this opportunity because you will get the chance to…**
- Contribute to a culture of technical collaboration and scalable development
- Contribute ideas and direct the team’s investment to impactful, data-driven directions
- Be part of a team which has high visibility across the organization

**We’re excited about you because…**
- You have a degree in an engineering or computer science field
- You have 3+ years of work experience in data engineering, with strong experience in data modeling and data pipeline development
- You have familiarity with using Spark to access an S3 data warehouse
- You have experience partnering cross-functionally and enjoy gathering input from stakeholders
- You are a proactive communicator who helps simplify and move complex problems forward
- You have experience coding at a production level in Python and SQL
- You are innovative and inspired to take on new challenges and you do not shy away from potential failure

7764 - Data Engineer Data

7763 - Data Engineer Data

DevOps / Atlassian support engineer

**Job Summary:**
We are seeking a skilled DevOps / SRE / support Engineer, to provide support to the Atlassian suite products and underlying infrastructure.
The ideal candidate will possess a strong foundation in the Atlassian suite, automation of tasks, DevOps practices, and monitoring. This role requires hands-on experience to support our Software Developers in their daily work.
**Key Responsibilities:**
· **Operations support:**
o Atlassian suite support and access requests (Jira, Bitbucket)
o Sailpoint access control
o Certificates renewal
o Small Grafana changes
o Monitoring efficiency metrics dashboard for Bamboo agents
o Cloud/Unix admin and monitoring

· **Scripting & Automation:**
o Jira workflow automation
o Bitbucket workflow automation
o CI/CD pipelines set-up, troubleshooting and support (Bamboo)
o Use of AI tooling to prioritize SonarQube messages, Build issues, CI/CD logs

**Qualifications:**
· Minimal of 4 years experience as SRE/DevOps/Support engineer.
· Experience in managing and troubleshooting all tools of the Atlassian suite, from access requests to performance to automating workflows.
· Familiarity with DevOps practices and CI/CD pipelines.
· Basic knowledge of Linux operating systems, Windows command-line tools and Puppet Infra-as-code.

**Good to have:**
· Experience with AI tooling and Agentic AI to streamline the flow of incidents, error logs, security logs
· Knowledge of SonarQube (identifying actions coming out of the logs; automate the prioritization and handling)

**Certifications:**
· Atlassian Certified Professional (ACP)

Expected to service client in San Jose, California (Pacific Time Zone)

7757 - DevOps Cloud, Infrastructure and ITOps

JR 3242

**Job Description:** Interfaces with Business Stakeholders and COE teams to define, gather, and document business processes and needs, and translate into detailed functional specifications for development.
Performs business systems and process analysis of existing systems/processes. Conducts interviews and requirement gathering workshops. Ensure sign-off of all artifacts. Coordinates requirements for new and existing applications. Assists in testing, training plan development and live training. Provides support for users and develops user documentation (i.e. manuals, reference guides, etc.) Participates in QA process; identified test cases; explains complex processes; aids in developing test plans. Develops detailed business cases, OI calculations, value definition, cost assessments (expense/capital), benefits, and risk analysis. Coordinates project tasks and project life cycle phases for small to mid-size projects (i.e. defining requirements, documentation, and process flows, etc.) to meet customer goals and requirements.

Business Analyst Product Administration

7753 - Business Analyst Product Administration

JR 3243

**Job Description:** Analyzes information technology (IT) requirements in business processes, through requirements elicitation, solutions identification, risk analysis and collaboration across (IT) teams.
- Developing documents for IT applications, system specifications and test plans, according to existing standards and methodologies.
- Eliciting the requirements needed to carry out business processes including interviews, intelligence analysis and survey assessments.
- Translating business needs, processes and procedures into a workable system, and articulating on specific software requirements by communicating about these requirements with technology experts and business stakeholders.
- Working closely with business architects and other technology staff to deliver project results while implementing risk analysis and meeting required deliverable.
- Analyzes business requirements.
- Assists in preparing project plans.
- Conducts research to support project analysis.
- Develops and maintains project documentation.

7752 - Business Analyst Product Administration

**Overview**
We are seeking a **Senior Software Engineer** to join our **Migration Enablement** team. This team is part of Internal Developer platform (IDP) subdivision and responsible for migrating applications from a decentralized environment to a centralized, standardized platform—streamlining technology management and enhancing developer productivity—while ensuring our products function seamlessly within an open ecosystem.
**About the Team**
The Migration Enablement team supports product application teams in moving their applications to new environments. This includes:
- Leveraging **AI automation** and **manual verification** to accelerate migration.
- Addressing application team questions about the new environment.
- Collaborating with platform stakeholders, including developers and their managers, to ensure smooth transitions.
- Building AI tooling, tuning prompts to improve automation, and providing timely technical support via messaging channels.

**Key Responsibilities**
- Design, develop, and maintain software in an **Agile** environment.
- Collaborate with team members to enhance productivity and deliver results efficiently.
- Deliver **high-quality, customer-focused code** that meets business needs.
- Build domain expertise and share knowledge with peers.
- Take ownership of deliverables and provide ongoing support to application teams during migration.
- Develop and enhance AI-based tools to automate migration processes.

**Qualifications**
- **7+ years** of software engineering experience.
- Proficiency in:
    - **AWS technologies**
    - **Kubernetes**
    - **DevOps** tools and CI/CD pipelines (**Jenkins, Harness**)
    - **Java** and **Python**
- Experience working in **enterprise-level Agile** environments.
- Familiarity with AI concepts and a willingness to explore and learn.
- **Preferred skills**: Python, DynamoDB, Node.js, AI/ML experience.

7720 - DevOps Cloud, Infrastructure and ITOps

7719 - DevOps Cloud, Infrastructure and ITOps

JR3295
---
**About This Job**
Job Desc:
• Translate business requirements into viable and scalable applications.
• Develop and test outsystems applications using best practices and established coding standards
• Conduct root cause analysis using knowledge of applications, interfaces, and technology for defect resolution.
Maintain a professional demeanor at all times and consistently interact professionally and productively with other team members.
Desired Career Exp:
- At least 2 years of experience developing web and mobile applications using outsystems.
- Proficiency in the outsystems platform, including the use of Service Studio, Integration Studio.
- Experience in architecture patterns, solution design and high performing application development.
- Experience in designing and developing scalable, secure and high-performance Outsystems applications.
- Extensive experience in developing screens, web blocks, timers, server/service actions, client actions, data actions etc. in outsystems
- Experience in customizing the UI of the screens based on the figma designs provided.
- At least 1 years experience working with web technologies like ASP .NET, C#, or Java, HTML, CSS, JavaScript and RESTful APIs.
- At least 1 years experience working on relational database language like SQL/Oracle and writing T-SQL queries.
- Experience in using Outsystems architecture dashboard, discovery tool to validate application design and technical debt.
- Knowledge of relational data modelling principles and experience building database objects using E-R modelling tools.
- Experience in building apps with responsive web design compatible with various devices, exposing and consuming SOAP and RESTful APIs.
- Experience working in agile/scrum methodology of project delivery.
- Experience using tools like Azure Boards, Jira, confluence.

Key Skills:
Outsystems
SQL
.Net
Javascript
CSS
HTML
REST API
Other:
Certification in Outsystems Reactive Web and ODC is preferred.

Outsystems Niche

7714 - Outsystems Niche

**Sr. Data Scientist**
Be a pioneer in business, education, and global impact by joining the team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies.

In this capacity, you will translate the needs of our cross-functional stakeholders into predictive models and production-grade algorithms and platforms and will drive value creation through personalized engagement, expanded reach, and experimental new ways of learning that will continue the organization's leadership in education, business, and societal impact.

You will contribute to the creation, delivery, and production of specific data science, machine learning and AI products for internal stakeholders; directly mentor other data professionals, data analysts, and machine learning engineers. In conjunction with the key partners, you will make technical decisions on data, technology, and ways of working.

**Duties and Responsibilities:**
- Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
- Apply data science, machine learning, and AI techniques to derive business value from the full range of internal and external data sets in a cloud environment.
- Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
- Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
- Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
- Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value.
- Embody the values and passions that characterize the organization, with empathy to engage with colleagues from a wide range of backgrounds.
- Promote data science, machine learning, AI, and digital and emerging technologies in relevant channels through community engagement, networking, speeches, and publications as applicable.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

**Additional Qualifications And Skills** **Other Required Qualifications:**
- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 2-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- 3-5 years’ experience with Python and SQL.
- Experience with cloud computing platforms and tools (AWS, GCP, or other).
- Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)
- Proficiency with data visualization tools (D3.js, R Shiny, Looker, Streamlit, or similar).
- Experience operationalizing end-to-end machine learning applications.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.

7712 - AI AI

A developer who is well-versed in Microservices technologies and is savvy about building highly efficient large-scale applications. Must be well versed with cloud computing, micro-services architecture, and be able to build maintainable well tested code using good design principles. Tenacious, but nimble learner, who demonstrates design & engineering excellence. Person will have opportunity to work in cutting-edge technologies of AWS, Java, Springboot, ReactJs and also go into depths of networking and security domains.

Job Responsibilities
- Deliver customer value in the form of high-quality software components and services in adherence with RPR policies on Security, performance, longevity and Integration testing
- Write, debug, and deploy code to production; deliver timely fixes
- Produce accurate, unambiguous technical design specifications to the low-level details.
- Contribute to agile ceremonies; scrum meetings i.e. daily stand-up, sprint planning, readouts and retrospectives. Also participate in improving team performance
- Estimate the size of development tasks in story points with a goal of 90% accuracy; begin to challenge others during estimation
- Perform peer code reviews in order to ensure quality standards. Understand and follow coding conventions, architectures, and best practices
- Adhere to DOD (story definition of done) as part of the sprint, including unit tests, functional testing, code reviews, no regressions, bug fixes, documentation and adhere to best coding practices
- Master the domain knowledge for area of assignment
- Take ownership of what the team builds after the release; consider customer adoption as success criteria
- Drive self-organization; help determine how the team functions in collaboration with your peers
- Work collaboratively across the Technology and Product organizations to ensure alignment towards business goals
- Builds strong relationships with cross-functional team members
- Share business and technical learnings with the broader engineering and product organization, while adapting approach for different audiences

Typical Qualifications
- 3-4 years of experience in an engineering role
- Bachelor’s Degree or equivalent
- Strong software engineering skills and computer science experience
- **Strong knowledge of java/Springboot**
- **Strong understanding of design patterns and ability to describe them**
- AWS infra knowledge (Preferred)
- Experience in an Agile environment.
- Exposure to SQL, relational database technologies, RESTful APIs
- Understanding of identity domain like SSO/authorization (Nice to have)

7697 - Java Java

**JR3158**
**--**
**About This Job**
Designs, develops, and maintains software applications in Outsystems. Provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
- Develops complex software components. Provides team and project leadership for software development activities.
- Develops interfaces and drivers for hardware devices, software platforms and data exchange.
- Advises developers on best methods of software development and code creation.
- Monitors and modifies development work to make sure resulting software meets established goals.
- Tests and debugs software to ensure high-quality and error-free products.
- Collaborates with cross-functional teams to identify and resolve software issues.

7678 - Outsystems Niche

### **Core Requirements**
- 10 years of experience in backend application development or platform engineering
- Strong technical communication skills; **must be proficient in English**
- Experience with application-level workflows, business rules, and data modeling
- Cloud infrastructure familiarity; AWS preferred
- Java/C# experience acceptable
- Degree in Computer Science or equivalent

### **Nice to Haves**
- Experience as a tech-lead
- SQL fluency or data engineering background
- Financial Services–type background with "combat experience" (ownership under pressure, not just task execution)
- Product/UI sensibility

7661 - Python Python

7660 - Python Python

.Net leads JD
**++Summary++**
Our growing team is looking for experienced backend software engineer to help us build and maintain software systems in support of our business and partners.  If you are an experienced software engineer with a passion for good design and architecture, with great interpersonal skills we want you! The Lead Software Engineer will be responsible for providing support for contributing to new software development efforts on the most current .NET technology stack and Azure
**++Responsibilities++**
- Create systems that are durable and flexible by developing for change – favor configurability over customization
- Create enterprise grade framework for engineers to leverage, with security, scalability
- Refactor and extend the existing codebase to fix defects and add features/functionality
- Architect and develop applications, workflows, and prototypes to meet the business’ needs
- Refine functional requirements and develop technical specifications
- Generate technical documentation to communicate architectural and design decisions
- Develop complete test plans, tests, and strong code coverage
- Resolve defects during QA testing, pre-production, production, and post-release cycles
- Communicate & collaborate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts

**++Education and Experience++**
- Bachelor’s degree in Computer Science or related field, Master’s degree a plus
- 7+ years of software development experience including
- Strong portfolio of work showing experience developing secure and standards-compliant code across multiple platforms. (Java, Microsoft stack as well as Open Source technology)
- Solid conceptual knowledge of design patterns and language agnostic design experience
- Test driven development mindset and strong discipline of writing extensive tests for every production code ship
- Experience with Cassandra or Cosmos DB or other NO SQL databases
- ​Experience with multi-tenant architectures in the SaaS space
- Fluent in several of the following languages/platforms/libraries: Java and .NET
- Strong understanding of API’s and web service concepts such as REST, SOAP, and XML/JSON business object representations
- Experience developing API's utilizing REST architecture
- Ability to handle a fast-paced environment for iterative project turnarounds on mission & revenue critical, customer-facing applications
- Experience with Agile development methodologies such as Scrum and Extreme Programming
- Git, Jira, Confluence experience
- Experience is queue based systems like RabbitMQ, MSMQ, Kafka, Event Hub is preferred.
- Knowledge of Relation databases like Oracle/SQL server.
- Experience in .Net Core, Azure is preferred

7601 - C# C#

**Role Introduction**
The Senior Manager, Paid Media & Performance Marketing will lead unosquare’s digital advertising strategy, ensuring a data-driven, scalable approach to demand generation. This role focuses on executing and optimizing paid campaigns to generate high-quality leads and drive revenue growth.

**What You'll Do**
Develop, execute, and optimize a data-driven paid media strategy that drives lead generation and revenue impact for both Account Based and industry opportunities.

Lead paid advertising campaigns across Google Ads, LinkedIn, Meta, programmatic display, and other relevant platforms.

Scale unosquare’s paid media efforts by testing new channels, audience segments, and campaign structures.

Manage and optimize budgets to balance return on ad spend (ROAS), customer acquisition costs (CAC) and  long-term pipeline health.

Own reporting and analytics, leveraging insights to improve performance, and inform strategic decisions.

Implement A/B testing frameworks to continuously refine targeting, messaging, and conversion rates.

Collaborate with cross-functional teams, including sales, content, and product marketing, to ensure alignment and maximize impact.

Stay ahead of digital advertising trends, industry developments, and platform changes to drive continuous innovation.

**Requirements**
7+ years of experience in paid media, performance marketing, or demand generation in a B2B setting, with a strong focus on mid-market or entreprise level lead acquisition and revenue growth.

Proven track record of launching and scaling paid media programs that drive measurable pipeline and sales impact.

Experience executing successful account-based marketing (ABM) campaigns in key industries.

Expertise in digital advertising platforms, including Google Ads, LinkedIn Ads, and programmatic display.

Strong analytical skills with experience using data to optimize campaign performance, media spend and attribution models.

Hands-on experience with marketing automation platforms and CRM tools (e.g., HubSpot, Salesforce) for campaign tracking, lead attribution, and reporting.

Ability to test and scale paid media efforts across multiple channels while aligning with business and sales objectives.

Strong project management skills with the ability to manage multiple campaigns and initiatives simultaneously.

A proactive, results-driven mindset with a passion for continuous optimization and performance marketing excellence.