Middle Python Developer

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: investigating and diagnosing bugs in production Python applications, implementing code fixes and enhancements for Azure-hosted applications, maintaining and improving existing Python codebases, refactoring and optimising application code, designing, creating and executing automated tests, validating fixes in development and staging environments, developing and maintaining RESTful APIs and API integrations, working with Docker containers and supporting containerised deployments, ensuring reliable MQTT communication and message processing, monitoring application logs and performance metrics, documenting code changes and updating technical documentation, participating in code reviews and collaborating with cross-functional teams, supporting deployments through Azure DevOps CI/CD pipelines. Your profile: proven experience in Python development and maintenance, hands-on experience with Microsoft Azure services, practi cal experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, good knowledge of Docker and containerised applications, experience with RESTful APIs and API integrations, practical experience with MQTT protocol and messaging systems, experience with automated testing using pytest or unittest, understanding of CI/CD pipelines and DevOps practices, experience with Git and collaborative development workflows, knowledge of microservices architecture and cloud-native applications, good understanding of asynchronous programming in Python, ability to analyse, troubleshoot and resolve production issues, ability to work with existing and legacy codebases, attention to detail and commitment to code quality, good communication skills and ability to work in a distributed team, good command of technical English (at least B2 level). 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, i nterest 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