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България
Remote only
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 have at least 5 years of experience in software test automation.
You have strong knowledge of JavaScript/TypeScript and SQL
You can structure, design, and plan test scenarios and test cases.
You have experience working with Playwright.
You have experience in backend test automation.
You are experienced in CI/CD best practices and implementing tests into pipelines.
You have experience in Azure Devops.
You have a solid understanding of the Software Development Life Cycle (SDLC).
You can design and implement a test automation framework.
You are familiar with test automation best practices and can review and assess test automation frameworks.
You have a good understanding of web technologies.
You are eager to learn and share your knowledge with others.
You are self-driven, reliable in meeting deadlines, and possess strong analytical skills.
You mentor less experienced testers within the project.
You are familiar with contract testing.
You are proficient in using AI in your daily tasks, tools such as Claude, Codex, Copilot
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.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
CV review – HR call – Interview – Client Interview – Decision
