About
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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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.
Responsibilities
•Developing, testing, and maintaining backend applications using Python
•Designing, developing, and maintaining RESTful APIs
•Building and maintaining CI/CD pipelines and automation workflows using GitHub Actions
•Automating testing, code quality checks, and deployment processes
•Working with Docker and containerised application environments
•Defining Service Level Objectives (SLOs) and implementing monitoring and alerting strategies
•Improving system reliability and supporting rapid incident response
•Collaborating with distributed teams in an Agile environment
Requirements
•Strong experience in Python application development
•Hands-on experience with REST API development using FastAPI, Flask, or similar frameworks
•Practical experience with GitHub Actions for CI/CD, testing, automation, and deployment
•Good understanding of Git, branching strategies, and collaborative development workflows
•Experience with Docker and containerised applications
•Understanding of SLOs, monitoring, alerting, and system reliability
•Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery
•Strong communication skills and the ability to work independently in a distributed team
•Good command of English (min. B2)
•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
•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 – Technical Interview – Client Interview – Decision
