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: developing, enhancing, and maintaining multi-tenant backend services/APIs using Go (Golang) and gRPC, running in Kubernetes, using Postgres as database backend, data modelling (e.g. database, canonical product data model) with focus on performance and multi-tenancy, API design following Google AIP standard, with multi-tenancy in mind (i.e. we're not building a backend for frontend), designing and present architecture changes via ADR, following our architectural guidelines and principles, creating and maintaining integrations between our backend services and multiple Saas systems (e.g. our systems for product content), ensuring code quality through testing, code reviews, and adherence to standards. Your profile: strong experience in backend development with Go (Golang) 5+ years, solid understanding of concurrency, data structures, and backend fundamentals, experience designing and consuming APIs, experience with SQL databases (PostgreSQL, MySQL or equivalent), proficiency with Git-based workflows, experience with unit and integration testing

• Hands-on experience with Docker

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. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision