About the role
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 17 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 ING, Millenium Bank, Play, Wavin, Arabian Drilling, FedEX, Leroy Merlin, Edenred, 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
- designing and developing backend services and APIs using Go,
- building fullstack solutions using Go and TypeScript,
- designing and implementing complex business workflows and state machines,
- working with PostgreSQL and ensuring data consistency and reliability,
- developing automated tests, particularly end-to-end tests, to ensure application quality,
- establishing engineering practices and guardrails for AI-generated code,
- contributing to technical decisions and shaping architecture in an evolving environment,
- collaborating with the team to deliver scalable, production-ready solutions.
Your profile
- senior-level experience in fullstack software engineering, with a strong backend focus,
- strong commercial experience with Go for backend development,
- very good knowledge of TypeScript,
- solid experience with PostgreSQL,
- hands-on experience designing and developing backend APIs,
- experience implementing complex workflows, business processes, or large state machines,
- strong experience with automated testing, particularly end-to-end testing,
- experience working in an AI-first or AI-assisted software development environment,
- ability to establish reliable engineering practices and testing guardrails around AI-generated code,
- ability to make sound technical decisions when requirements and architecture are still evolving,
- good command of English (min. B2).
- Work from the European Union region and a work permit are required.
Nice to have
- experience in fintech, particularly with financial workflows, lending, leasing, or payments,
- experience developing AI agents or agentic workflows,
- experience building systems that combine automated workflows with human decision-making and approval steps,
- experience with Kubernetes and running backend services in a cluster,
- experience with GCP,
- familiarity with Kafka and Redis or Redis-compatible databases.
Recruitment Process
CV review – HR call – Technical Interview – Client Interview – Decision