Senior QA Specialist (Typescript + AI)

The role

You will own quality and verification for legacy desktop business applications being migrated to modern web solutions. You will define how to prove a migrated application behaves like the original, build automated checks into an AI-assisted delivery workflow, and help the client's team adopt the approach.

What you will do

• Design the verification approach for migrated applications, from test strategy through acceptance
• Help define behavioural specifications that are testable and traceable to the source system
• Build automated quality gates into an AI-assisted development workflow
• Test REST APIs and web front ends, including data validation against the legacy system
• Measure and report on test effectiveness, review effort and quality metrics
• Run acceptance testing with domain experts and record results in agreed formats
• Prepare and run knowledge transfer sessions for the client's engineering team

Required qualifications

• 5+ years in quality engineering, including verification of legacy system migrations or rewrites (characterization, golden master or parity testing)
• Specification-based test design and traceability (for example 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 test effectiveness
• Testing data-intensive business systems, ideally in finance or ERP
• Fluent English
• Practical experience using AI-powered assistants 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 structured way within the SDLC, including defined workflows, prompt patterns or tool integrations
• Interest in and familiarity with emerging AI-driven practices (agent-based workflows, automation patterns, AI-augmented development)

Before you apply

• Work from the European Union region and a work permit are required

About the company

Xebia is a global AI-first digital transformation and engineering partner with a team of 5,000 professionals across 16 countries. In the CEE region it has nearly 1,000 experts delivering applications, data platforms and AI solutions.