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 modern, scalable frontend applications,
- building responsive, accessible, and user-friendly interfaces,
- collaborating with cross-functional teams to deliver high-quality software solutions,
- writing clean, maintainable, and well-tested code while participating in code reviews,
- contributing to technical improvements, best practices, and the continuous evolution of frontend application
Your profile:
- at least 5+ years of experience as a Frontend Software Engineer,
- high-level expertise and proficiencies using React and TypeScript as well as JavaScript in-depth knowledge,
- good understanding and proficiency in PHP and JQuery legacy frontend applications,
- strong knowledge and application of software design patterns,
- familiarity with OWASP top 10,
- experienced working with and creating interfaces using ‘CSS in JS’ components and in CSS-SASS managed applications,
- experience with Unit and Integration testing as well as code reviews (TDD),
- experience with REST API,
- understanding of GraphQL (desirable),
- proficiency with Continuous Integration and Deployment workflows,
- a good understanding of building accessible (WCAG 2.1) interfaces,
- good English communication skills with the ability to interact effectively with multi-disciplinary teams,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
Nice to have:
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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 – Interview – Client Interview – Decision
