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:
5+ years of experience
Extensive experience in manual QA activities across different project types and domains.
Experience conducting QA assessments, process audits, and identifying improvement areas
Ability to design and implement test strategies tailored to the project’s context and lifecycle.
Skilled in coordinating and organizing manual QA work within development teams to ensure structured and efficient testing.
Deep understanding of Software Development Life Cycle (SDLC) and QA’s role
Strong knowledge of functional testing techniques and a grasp of non-functional testing (e.g., performance, usability, security).
Designs and manages defect lifecycle processes, performs root cause analysis, and ensures appropriate follow-up actions.
Defines, collects, and tracks product quality metrics to monitor and communicate progress.
Constantly seeks process improvements to optimize testing efficiency and effectiveness.
Proficient in manual API testing using tools like Swagger, Postman, or similar solutions.
Basic understanding of CI/CD pipelines; capable of working in pre-configured environments and integrating QA activities into delivery workflows.
Ability to implement Gen AI into QA work with experience in using tools like Claude, Codex, Copilot or similar
Your profile:
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Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
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Work from the European Union region and a work permit are required.
Nice to have:
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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