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.

Your profile:

5+ years of professional software engineering experience.
Strong proficiency in Scala and functional programming, with professional experience in Go or the ability to work across both Scala and Go codebases.
Experience designing and implementing RESTful APIs.
Strong understanding of distributed systems and high-throughput production environments.
Hands-on experience with AWS, particularly S3 and EKS.
Experience with Kafka and event-driven or asynchronous architectures.
Experience with the Lightbend ecosystem, particularly Akka.
Experience with Elasticsearch, Jenkins, and New Relic.
Good understanding of software development lifecycle, including source control, CI/CD, and different testing approaches.
Excellent written and verbal communication skills in English.
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

17 openings across locations