Senior QA Automation + Performance specialist

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 specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. Your profile: Hands on Experience in creating performance test strategy, analysis and report Experience in creating Test automation approach from scratch Hands-on quality engineering or SDET experience across multiple test layers. Experienced in K6 Strong TypeScript skills and practical experience improving Playwright frameworks. Experience with API and integration test automation, plus an understanding of contract testing. Ability to work with developers on unit and component testing, mocking, stubbing and testability. Hands-on Azure DevOps pipeline integration, test reporting and quality gates; confident using Git and code reviews. Experience with test data, SQL and diagnosing failures across tests, applications and environments. Strong collaboration and coaching skills, with a pragmatic approach to risk, coverage and maintainability. Nice to have: Experience with .NET, React Working knowledge of non-functional quality: accessibility basics (WCAG), performance basics and security/privacy awareness in test data. Familiarity with AI/LLM tools for quality (e.g. test generation, maintenance, analysis). Recruitment Process: CV review – HR call – Interview – Client Interview – Decision