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:
- designing and developing the server-side foundation of the SafetyTrack platform using ASP.NET Core Web API,
- building a secure, scalable API layer that serves as the single point of access to business logic and data,
- designing and implementing data models for versioned questionnaire templates, user responses, workflows, file storage, and analytical reporting views,
- implementing secure, role-based and OrgaTree-aware access control using Azure Entra External Identities (OIDC),
- developing cross-cutting platform capabilities such as validation, caching, rate limiting, and observability,
- supporting integrations with Agentic AI services where applicable, including response classification and knowledge-based capabilities,
- collaborating closely with Front-end Developers, Cloud/DevOps Engineers, and the Tech Lead to define API contracts and deliver end-to-end solutions,
- contributing to CI/CD pipelines, automated testing, and agile delivery with feedback-ready increments every sprint,
- ensuring high standards of security, auditability, and maintainability across the platform,
- continuously improving the platform architecture by applying modern engineering best practices.
Your profile:
- strong experience in backend development using .NET (C#), preferably with .NET 6 or later,
- hands-on experience with Azure Cloud Services, including Azure Functions, App Services, Azure Storage, Azure Service Bus, and Application Insights,
- solid experience working with SQL and NoSQL databases, such as Azure SQL and Cosmos DB,
- good understanding of Domain-Driven Design (DDD) concepts and modular architecture,
- experience writing unit and integration tests and applying test-driven development practices,
- proven ability to optimize backend services for performance, scalability, and reliability,
- practical knowledge of observability principles, including monitoring, logging, and distributed tracing,
- ability to design and implement secure, maintainable, and production-ready solutions,
- experience working in Agile environments, participating in sprints, stand-ups, and retrospectives,
- strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders,
- proactive mindset with the ability to identify problems, propose solutions, and take ownership,
- ability to work effectively in a cross-functional team environment,
- fluent English (B2/C1 level),
- 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 travel, booking, or other high-availability transactional systems,
- experience designing systems requiring strong reliability and scalability,
- familiarity with security best practices and secure software development practices,
- experience supporting applications in production environments,
- experience working with distributed systems and cloud-based architectures,
- 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
