Senior QA Specialist (Typescript + AI)

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We are looking for a Senior Quality Engineer to join a small, senior team modernizing a large portfolio of legacy desktop business applications into modern web solutions. The applications belong to an established financial software platform. Migration is carried out with AI coding agents inside a structured, gated workflow. In this role you will own quality and verification. You will define how we prove that a migrated application behaves like the original, build automated checks into the delivery workflow, and help the client’s team adopt the approach.

You will be:

• designing the verification approach for migrated applications, from test strategy through acceptance,
• helping define behavioural specifications and keep them testable and traceable to the source system,
• building automated quality gates into an AI-assisted development workflow,
• testing REST APIs and web front ends, including data validation against the legacy system,
• measuring and reporting on test effectiveness, review effort and quality metrics,
• running acceptance testing with domain experts and record results in agreed formats,
• preparing and running knowledge transfer sessions for the client’s engineering team.

Your profile:

• 5+ years in quality engineering, including verification of legacy system migrations or rewrites, such as characterization testing, golden master testing or parity testing,
• specification-based test design and traceability, for example with BDD, acceptance criteria or requirements-based testing,
• strong test automation skills in TypeScript,
• REST API testing, including contract and schema validation and data-driven tests,
• web E2E testing, with Playwright preferred,
• good SQL skills and experience validating data in business applications,
• hands-on use of AI coding tools (such as Claude Code, Cursor or GitHub Copilot) in QA work, and the ability to critically evaluate AI-generated code and tests,
• experience with mutation testing, fault injection or other methods of measuring how effective tests are,
• testing data-intensive business systems, ideally in finance or ERP,
• fluent English,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
• Work from the European Union region and a work permit are required.

Nice to have:

• experience evaluating LLM output, such as eval harnesses or LLM-as-judge setups,
• snapshot, approval, visual regression or property-based testing,
• testing multi-tenant or single-tenant-per-customer deployments,
• performance and batch processing testing,
• mutation testing tools such as Stryker or PIT,
• working knowledge of Docker and CI/CD pipelines, and setting up isolated test environments,
• experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.