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:
- 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 with .NET and ASP.NET Core, including designing and developing RESTful APIs,
- solid experience with relational database design and SQL (Azure SQL or equivalent),
- hands-on experience designing versioned, immutable, and auditable data models,
- strong knowledge of authentication and authorization using OAuth 2.0, OpenID Connect (OIDC), and role-based access control,
- experience working with cloud-native architectures, containerized services, secure file storage, and modern observability practices,
- familiarity with OpenTelemetry, Azure Monitor, or similar monitoring solutions,
- experience working with Git-based CI/CD pipelines and agile development methodologies,
- strong analytical and problem-solving skills with a focus on building secure and scalable backend solutions,
- very good English language skills (written and spoken).
Nice to have:
- experience with Azure API Management,
- knowledge of Power BI or analytical data pipelines,
- experience working in regulated, compliance-driven, or audit-sensitive environments,
- familiarity with Azure cloud services and modern DevOps practices,
- 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
