About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
About the Role
We are looking for a highly technical Software Development Engineer in Test (SDET) to ensure the stability, security, and accuracy of the enterprise-grade Generative AI and agent orchestration platform.
This is a dynamic, hybrid engineering role designed for long-term growth. A substantial portion of your initial focus will be on iteratively establishing the testing strategy - tackling the unique challenges of LLM evaluation, RAG accuracy, and real-time streaming, while retrofitting automation onto the existing codebase. With an automation framework established, the scope of this role will transition into cross-functional engineering, contributing to backend feature development, internal tooling, or supporting the upcoming Data Platform project.
If you are a developer who is deeply passionate about quality, comfortable using AI-assisted tools ("vibe coding") to accelerate test creation, and eager to grow into full-stack or data engineering within the GenAI space, this is the perfect opportunity.
Core Responsibilities (QA & Automation Focus)
- AI/LLM Evaluation & Data Governance: Develop "Golden Datasets" and securely generate synthetic test data, ensuring strict adherence to IM8 data masking and anonymization policies (e.g., ensuring no production PII leaks into SIT/UAT environments). Leverage internal toolkits (Moonshot) and platforms (Litmus) to evaluate prompt regressions, manage inherent LLM non-determinism (mitigating "flaky" tests), and track AI quality metrics.
- API & Streaming Testing: Design tests for Server-Sent Events (SSE) to validate stable streams, timeout handling, and accurate JSON parsing. Validate FastAPI endpoints focusing on complex state transitions (e.g., Bot Approval workflows).
- Codebase Transition & Retrofitting: Collaborate alongside existing vendors during an overlap period to audit the current codebase, reverse-engineer existing workflows, and iteratively retrofit comprehensive automated tests onto the running system to ensure long-term stability.
- Security & Sandbox Testing: Rigorously test the AI Marketplace's Role-Based Access Control (RBAC) and tenant isolation. Validate the security and lifecycle of Agentic "Code Interpreter" sandboxes, ensuring isolated execution and proper environment cleanup.
- E2E UI Automation: Iteratively build and maintain an E2E suite using Playwright or Cypress (TypeScript). Validate dynamic UI components (Mermaid.js, markdown), file upload workflows, and secure browser live-view functionalities.
- CI/CD & Quality Gates: Work closely with the DevSecOps Engineer to execute test suites seamlessly within self-hosted GitLab CI/CD pipelines. Establish strict "Quality Gates" (e.g., automatically blocking deployments if regression thresholds or hallucination rates are exceeded) while navigating the constraints of a restricted government network.
- Performance & Load Testing: Utilize tools (e.g., k6, Python asyncio) to simulate concurrent SSE connections. Monitor and manage AWS Bedrock Token/Request per minute (TPM/RPM) limits to prevent throttling under load.
Cross-Functional Responsibilities (Growth Focus)
- Feature Development: As the automated testing pipeline stabilizes, transition into writing production code. Pick up development tickets alongside the Full-Stack and GenAI engineers (e.g., bug fixes, building internal dashboards, API enhancements).
- Data & Analytics Support: Leverage your database and data-validation skills to assist in laying out the groundwork for the upcoming internal Data Platform.
- Team Quality Enablement: Champion a culture of quality. Empower and guide other software engineers in writing their own unit and smoke tests, utilizing Moonshot and Litmus across the development lifecycle.
Qualifications
- Experience: 3+ years of experience in Software Engineering, SDET, or highly technical QA Automation roles, with a demonstrable commitment to software quality.
- Coding Proficiency: Strong programming skills in Python (for backend/API/load testing) and TypeScript/JavaScript (for frontend automation).
- Automation Frameworks: Proven experience building E2E automation frameworks using Playwright or Cypress, and API testing tools (Pytest, Postman).
- System Debugging: Comfortable tracing logs and debugging errors in distributed, containerized environments (AWS ECS, Kubernetes/EKS, or CloudWatch) to provide developers with highly actionable bug reports.
- Database & Cloud: Proficiency in SQL (PostgreSQL) and working familiarity with AWS cloud services (S3, CloudWatch, Bedrock).
- Data Resourcefulness: Experience generating synthetic test data and navigating strict data privacy regulations (e.g., government or financial sectors).
- AI/LLM Interest: A strong desire to learn and tackle the unique testing challenges of Generative AI, RAG architecture, and streaming responses. Adaptability to learn and master proprietary internal AI testing tools.
Nice-to-Have (Bonus Points):
- Previous experience as a Software Developer, Data Analyst, or Data Engineer.
- Experience with automated security testing tools (OWASP ZAP).
- Familiarity with government enterprise environments and high-security data compliance (e.g., IM8).
Let's talk about what's in it for you!
Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.
As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:
Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.
Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.
Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.
Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.
Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.
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