Middle QA Automation

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.

You will be:

• designing, developing, and maintaining automated test frameworks for web applications and microservices,
• collaborating with developers, QA engineers, and product teams to ensure the delivery of high-quality software,
• creating and executing reliable automated test scenarios across functional and non-functional areas,
• contributing to continuous improvement of testing processes, quality standards, and CI/CD practices,
• ensuring software quality through effective test automation, analysis, and defect prevention.

Your profile:

• 4+ years of experience in test automation,
• commercial experience testing web applications and microservice-based systems,
• strong knowledge of Java,
• hands-on experience with Playwright, Selenium, and RestAssured,
• experience with test automation frameworks and best practices,
• good understanding of one or more of the following:
  • TDD and BDD tools and techniques,
  • performance and load testing,
  • security testing,
  • UI and accessibility testing,
  • test data creation and management,
  • DevOps practices and principles,

• 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 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.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision