Best suited to experienced .NET developers with a strong interest in enterprise migration and AI integration, working in the rail transportation and asset-leasing domain.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Poland and Middle-Eastern Europe via Greenhouse
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.
The project focuses on migrating and modernizing a business-critical enterprise platform for an international company in the rail transportation and asset-leasing sector.
The first phase establishes the technical foundation and migrates an initial set of business modules. The priority is to preserve existing functionality and business rules while introducing selected improvements in usability, automation, performance, observability, and security. Delivery follows a phased approach to support operational continuity throughout the transition.
You will be:
Building a reusable application platform with shared components and common development patterns.
Migrating existing business functionality while maintaining functional parity.
Understanding and documenting complex business rules, data, and dependencies.
Integrating the new solution with enterprise systems and supporting data migration.
Delivering incremental releases supported by automated testing, user acceptance testing, and post-release stabilization.
The technology stack includes C# and .NET for backend development, React and TypeScript for the frontend, and PostgreSQL for data storage. Cloud infrastructure uses AWS and Terraform, with xUnit, Vitest, and Playwright supporting automated testing.
The team works in an international delivery environment using Scrum, two-week sprints, and regular refinement, planning, and review sessions. Close collaboration between engineers, business stakeholders, and domain experts is essential to understanding existing processes and translating them into reliable software.
For candidates, the project offers an opportunity to combine modern application development with the challenges of enterprise migration. The work is particularly relevant to professionals who enjoy understanding complex systems, building reusable solutions, and delivering improvements within clearly defined business and technical constraints.
Tech stack:
.NET ASP.NET Core WebAPI REST TDD Docker Azure DevOps GenAI exposure (Claude Code, GitHub Copilot) AWS as nice to have
The technology stack includes C# and .NET for backend development, React and TypeScript for the frontend, and PostgreSQL for data storage.
Cloud infrastructure uses AWS and Terraform, with xUnit, Vitest, and Playwright supporting automated testing.
Your profile:
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.
Source: Poland and Middle-Eastern Europe careers (Greenhouse)