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.
About project:
Within this project, you will work on a platform designed to automatically extract, process, and analyze information and data across customer and software portfolio. The platform supports the modernization, automation, and scaling of business-critical software environments.
The project is primarily focused on enterprise software rather than traditional SaaS products. You will be working with software that is often deployed in complex customer environments, where reliability, maintainability, and the ability to work with diverse systems are important.
You will be:
- developing and maintaining .NET-based software solutions,
- contributing to the development and evolution of a platform for extracting, processing, and analyzing software and business data,
- working with complex enterprise software environments and integrations,
- collaborating with other engineers and stakeholders to design and implement reliable solutions,
- troubleshooting technical issues and contributing to continuous improvement,
- following software engineering best practices around code quality, testing, documentation, and maintainability.
Your profile:
- professional experience with .NET development,
- strong understanding of software engineering principles and object-oriented programming,
- experience building and maintaining production software,
- ability to work with complex systems and integrations,
- strong problem-solving and troubleshooting skills,
- ability to collaborate effectively with technical and non-technical stakeholders,
- good English communication skills.
-
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 working with enterprise software or business-critical applications,
- experience with data extraction, processing, or analysis,
- experience integrating with third-party or legacy systems,
- experience working in environments with complex customer deployments,
- experience with AI-assisted software development.
-
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