Summary
✨ AI‑Generated
Join a global engineering and digital transformation organization as a Senior Frontend Developer. You’ll contribute to modern applications and scalable digital solutions, collaborate with experienced engineers and specialists, and work in a culture that strongly supports technical excellence, knowledge sharing, and continuous development.
Highlights
Opportunity to work on modern applications, data platforms, and AI solutions within an engineering-focused consulting environment that emphasizes continuous learning, knowledge sharing, and professional growth.
Description
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 work with a microservices architecture, modern front-end technologies and a data-driven, experimental approach to product development.
Our teams rely on Agile methodologies, A/B testing, continuous delivery and data insights to build and continuously improve solutions used by a large number of customers.
You will have a real impact on both the customer experience and the technical direction of the platform, working closely with developers, product teams and other business stakeholders.
You will be:
developing and maintaining solutions within a high-availability infrastructure, focusing on improving customer experience, business performance, architecture and technologies,designing and implementing new projects in collaboration with colleagues and external partners,working with modern technologies within a microservices architecture,contributing to a data-driven and experimental development approach, including A/B testing and insights-driven feature development,mentoring junior and mid-level developers and supporting their technical growth,improving coding standards, development processes, testing practices, tools and team collaboration.
Your profile:
at least 6+ years of professional experience in software development,experience working on online products with large codebases and a significant user base,experience working with large-scale and distributed systems,strong experience with modern JavaScript (ES2020+), TypeScript and React, including React Hooks and server-side rendering,solid knowledge of HTML5, CSS3, SASS, CSS Modules and responsive design,experience with testing libraries such as Jest and React Testing Library,experience troubleshooting cross-browser compatibility and performance issues,experience with server-side technologies such as Node.js and Express.js,familiarity with modern build and bundling tools such as Webpack, Babel or Vite,familiarity with CI/CD pipelines and cloud environments such as GCP or AWS,experience working in Agile environments and a strong focus on delivering results,practical experience using AI-powered assistants (e.g.
Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,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 – Interview – Client Interview – Decision