Java 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:

• developing and maintaining multiple interconnected Spring Boot applications,


• building scalable backend solutions within a distributed systems architecture,


• working with event-driven and REST-based communication patterns,


• preparing containerized applications for deployment in Kubernetes environments,


• collaborating on deployment automation and platform-related processes,


• contributing to complex business domain solutions and technical decision-making,


• working closely with the team to deliver reliable and maintainable software.

Your profile:

• 4+ years of professional experience in Java backend development,


• strong experience with Java (latest versions) and Spring Boot,


• hands-on experience with Hibernate and relational databases such as PostgreSQL,


• experience building backend systems and APIs,


• practical experience with distributed systems and microservices architecture,


• experience working with Kafka and REST-based integrations,


• hands-on experience with Docker and understanding of containerized environments,


• strong analytical thinking and problem-solving skills,


• ability to work effectively within complex technical domains,


• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,


• good communication skills and English at a minimum B2 level,


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  Work from the European Union region and a work permit are required.

  
  

Nice to have:

• familiarity with workflow orchestration tools such as Camunda,


• exposure to Kubernetes environments and deployment automation tools such as Argo CD,


• experience with Avro or similar data serialization formats,


• openness to occasional business trips (up to twice a year for a few days),


• 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 – Technical Interview – Client Interview – Decision