Middle Fullstack Developer (Java&React)

About the Position

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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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.

Responsibilities

• Developing and maintaining backend services using Java and/or Kotlin and Spring Boot.
• Designing and integrating REST APIs within a distributed microservices environment.
• Contributing to frontend development using React, TypeScript, and modern JavaScript.
• Building responsive and accessible web applications using HTML5 and CSS.
• Collaborating across backend and frontend components to deliver end-to-end customer experiences.
• Focusing on code quality, automated testing, performance, and application monitoring.
• Using AI-assisted development tools such as GitHub Copilot or OpenCode to support software development.
• Working closely with other teams to evolve the automotive marketplace and its specialized customer experiences.

Requirements

• Strong commercial experience with Java and/or Kotlin.
• Hands-on experience with Spring Boot and REST API development.
• Practical experience working with distributed microservices architectures.
• Strong understanding of code quality, testing, performance, and monitoring.
• Good knowledge of TypeScript and modern JavaScript.
• Commercial experience with React and modern frontend development.
• Practical knowledge of HTML5, CSS, and responsive web development.
• Understanding of web accessibility standards, including WCAG.
• Practical experience using AI-powered assistants (e.g. GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• 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 Google Cloud Platform (GCP).
• Knowledge of SQL and databases.
• Experience with MongoDB.
• Familiarity with Microfrontends architecture.
• 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

About the Company

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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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.