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 services in Java and Spring Boot,
- building REST APIs and integrating services within a distributed environment,
- consuming and processing platform events and customer data in a near real-time integration landscape,
- implementing event-driven solutions using Azure Event Hub or Kafka,
- persisting and managing customer data in Azure SQL databases,
- designing and maintaining microservices deployed on Azure,
- working with enterprise integrations across Salesforce, MuleSoft, and Azure,
- contributing to API design and documentation using OpenAPI / Swagger,
- working with Docker and Kubernetes,
- collaborating with the team on code quality, testing, and continuous delivery.
Your profile:
- 5+ years of professional experience in Java development,
- strong hands-on experience with Java 11+ and Spring Boot,
- solid experience developing REST APIs,
- practical experience with Azure SQL or other SQL databases,
- experience with event-driven architecture and messaging platforms such as Azure Event Hub or Kafka,
- experience working with enterprise integrations and distributed systems,
- good knowledge of OpenAPI / Swagger,
- experience with Git and Azure DevOps,
- hands-on experience with Docker and Kubernetes,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
- good understanding of microservices architecture,
- good command of English (min. B2) and Italian (min. B2),
- willingness to travel occasionally to Italy to visit the client.
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
