Senior 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 backend integration services using Java and Spring Boot,

• implementing XML processing and file-based integrations, including generating and handling XML files,

• processing asynchronous messages and managing data flows across Azure services,

• working with Azure Blob Storage, Service Bus, Event Hub, and Azure SQL,

• designing and implementing microservices and event-driven solutions,

• applying resilient integration patterns such as retry, dead-letter queues, idempotency, reconciliation, and error handling,

• integrating services and systems using MuleSoft,

• contributing to CI/CD processes using Azure DevOps,

• working with Docker and Kubernetes, including AKS,

• troubleshooting production issues and supporting reliable operation of integration services.

Your profile:

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

• strong hands-on experience with Java 11+ and Spring Boot,

• solid experience with XML processing and file-based integrations,

• practical experience with Azure services, particularly Blob Storage, Service Bus, Event Hub, and Azure SQL,

• experience with microservices architecture and event-driven systems,

• good understanding of resilient integration patterns, including retry, DLQ, idempotency, and reconciliation,

• experience with MuleSoft integrations,

• hands-on experience with Docker and Kubernetes, preferably AKS,

• experience with Azure DevOps and CI/CD,

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

• strong troubleshooting and production support skills,

• good command of English (min. B2).

• 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 – Technical Interview – Client Interview – Decision