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:
- leading the technical delivery of new features from design through implementation and production,
- collaborating with architects to ensure consistency, scalability, and alignment with the overall technical strategy,
- designing, developing, and maintaining high-quality backend applications using Java and Spring Boot,
- driving improvements to platform architecture, engineering practices, and development standards,
- monitoring, maintaining, and continuously improving production services,
- participating in the full software development lifecycle, including requirements analysis, development, testing, and deployment,
- mentoring and supporting other developers through knowledge sharing, code reviews, and technical guidance,
- contributing to architectural discussions and promoting technical excellence across the engineering team.
Your profile:
Nice to have:
- experience with AWS cloud services,
- familiarity with JUnit, Cucumber, Selenium WebDriver, or similar testing frameworks,
- knowledge of XML and JSON,
- experience working with Unix/Linux and shell scripting,
- experience with large-scale databases,
- familiarity with Git, Maven, Jenkins, Tomcat, and Apache,
- basic knowledge of HTML, CSS, and JavaScript.experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
- 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
