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Lead the large-scale migration of repositories and CI/CD pipelines from Azure DevOps to GitHub Enterprise environments. Collaborate with engineering teams to validate workflows, troubleshoot issues, and optimize GitHub Actions for efficient delivery.
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.
We are looking for GitHub Migration Engineers to join a project delivered for an international leader in financial intelligence, analytics, and workflow solutions. The organization operates at the intersection of finance, data, and technology, supporting corporations, governments, and institutional investors with critical information and technology solutions.
This role is focused on a large-scale migration from Azure DevOps to GitHub. You will work on repository and CI/CD pipeline migrations across GitHub Enterprise Server and GitHub Enterprise Cloud environments, ensuring that repositories and workflows are migrated successfully, optimized, and fully operational.
This is a hands-on migration role that also requires strong collaboration skills. You will work directly with engineering teams to validate migrated workflows, troubleshoot issues, and help teams transition smoothly to the new GitHub-based development and delivery environment.
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
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