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. 

We are looking for Backend Java Developers to join a project delivered for our international client operating in the sustainability and ESG domain. The client is a well-established global organization with a strong presence in Europe, supporting complex internal business operations through modern digital platforms and enterprise applications.

This role is a great opportunity to work on a live production application undergoing a major modernization and migration initiative. You will contribute to the migration of an existing internal application from legacy Python-based processing pipelines into the client’s standardized Java backend platform and enterprise architecture. The project is not greenfield and not pure maintenance — it combines modernization, migration, and continuous delivery within an active business environment.

• develop, maintain, and improve enterprise-grade backend applications using Java,

• support the migration of existing Python-based backend logic and processing pipelines into modern Java services,

• design, build, and maintain REST APIs and backend integrations supporting frontend applications and internal business processes,

• contribute to microservices-based architecture and backend modernization initiatives,

• collaborate with frontend engineers and internal customer teams to deliver scalable and maintainable solutions,

• translate business and technical requirements into robust backend implementations,

• ensure high code quality through code reviews, automated testing, debugging, and performance optimization,

• create and maintain unit and integration tests for backend services and APIs,

• participate in technical discussions related to architecture, scalability, reliability, and system integrations,

• support continuous improvement of engineering standards, backend development practices, and delivery workflows.

• commercial experience as a Backend Java Developer in enterprise application environments,
• strong hands-on experience with Java as the primary backend technology,
• practical experience with Spring Boot and modern backend application development,
• good understanding of REST APIs and microservices architecture,
• experience working with backend integrations and distributed systems,
• experience with MSSQL or other relational database systems,
• strong understanding of unit testing and integration testing practices,
• experience working with CI/CD and delivery workflows, preferably using Azure DevOps,
• good understanding of software engineering best practices, maintainability, and clean code principles,
• experience with Git and standard software development workflows,
• strong communication and collaboration skills in international engineering environments,

• 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.

• experience migrating legacy backend systems into modern Java-based platforms,
• experience working in large enterprise or internal platform environments,
  
• knowledge of Python or Airflow-based processing environments,
• knowledge of containerized environments and backend deployment practices,
• experience with messaging systems, asynchronous processing, or event-driven architectures,
• exposure to sustainability, ESG, or data-processing related applications,

• 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.

CV review – HR call – Interview – Client Interview – Decision