Job Opportunities API

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:   Required Skills & Experience The candidate must demonstrate: • Strong hands-on experience with AWS architecture • Mandatory expertise in Terraform for Infrastructure as Code • Robust knowledge of networking concepts in hybrid (on-prem & cloud) environments • Experience in setting up and managing Databricks on AWS • Solid understanding of Databricks architecture and components • Strong knowledge of IAM in both AWS and Databricks Your profile: Key competencies: • Terraform-based infrastructure and network automation • In-depth knowledge of Databricks • Development of CI/CD pipelines (e.g., Databricks Asset Bundles – DAB) • Support for code migration across platforms and environments Focus: platform development, automation, and the creation of a scalable, well-structured AWS infrastructure. 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. 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. 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. Knowledge of Microsoft Azure Experience with CI/CD pipelines and automation tools   Recruitment Process: CV review – HR call – Interview – Client Interview – Decision