Backend Software Engineer (Java and Kotlin)

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.

You will be:

• developing and enhancing scalable backend services for a specialized automotive marketplace,
• designing and developing microservices and REST APIs supporting key customer journeys,
• designing new modules and improving existing platform components,
• collaborating closely with Product Managers, Data Analysts, and UX Designers to translate business needs into technical solutions,
• ensuring high standards of code quality, testing, maintainability, and engineering best practices,
• using AI-assisted development tools such as GitHub Copilot or OpenCode to support software delivery.

Your profile:

• strong commercial experience with Java and Kotlin,
• hands-on experience with Spring Boot,
• practical experience designing and developing microservices architectures,
• experience building and maintaining backend services and REST APIs,
• strong focus on code quality, testing, and engineering best practices,
• ability to design new modules and improve existing systems,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• ability to work effectively with Product, Data, and UX teams,
• Polish and English at B2 level,
• openness to occasional visits to the Warsaw office (1-2 days per quarter).

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

Nice to have:

• experience with MongoDB and Spring Data MongoDB,
• experience working with Google Cloud Platform (GCP),
• basic knowledge of frontend or mobile development, such as Web, iOS, or Android.
• 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 – Techincal Interview – Client Interview – Decision