Software Engineer – Clinical Systems (C# ​/ .NET

At Fresenius Medical Care, we are the global leader in kidney care, committed to improving the lives of patients with chronic kidney disease. Our mission is to deliver high-quality, innovative products, services, and care across the entire healthcare journey. Guided by our vision—“Creating a future worth living. For patients. Worldwide. Every day.” —we work with purpose and compassion, supported by a global team of over
110,000employees.

Within our Care Enablement segment, we develop and provide life-sustaining medical products, digital health solutions, and therapies that empower clinical teams and improve patient outcomes. Our FME Reignite strategy drives transformation through innovation, efficiency, and sustainable growth.

Our values guide how we work:

• We Care for our patients, each other, and our communities

• We Connect across teams and borders to deliver excellence together

• We Commit to doing things the right way— growing with purpose and leading kidney care with integrity and innovation

Goal of function:

Develop and maintain software components within the O4A – The Hub clinical microservices platform, built in C# / .NET with an Angular front end. The core of the role is hands‑on back‑end and full‑stack engineering on live clinical workflows. As part of the platform's roadmap, the role also contributes to AI‑enabled product features — such as real‑time assistant chat, LLM API integration, and document‑processing pipelines — so practical familiarity with Generative AI tooling is a valued asset, not the primary requirement.

This is a software engineering role, not a data science or AI research role.

Your tasks:

• Develop and maintain C# / .NET microservices within O4A – The Hub, following existing architectural conventions and preserving the reliability of live clinical workflows. Includes working with the proprietary Ark framework (FME.Ark.*) — learned on the job.
• Contribute to front‑end development (Angular / Type Script) as required, in collaboration with the Lead Front‑end Engineer.
• Debug and troubleshoot issues across the microservices environment, minimising impact on clinical operations.
• Contribute to the platform's AI‑enabled features (e.g. the AI Integration microservice) under the technical guidance of the Lead Data Scientist — implementing, integrating and maintaining Generative‑AI capabilities as the product roadmap evolves.
• Participate in code review and technical documentation, building shared architectural knowledge of The Hub to reduce key‑person dependency.
• Collaborate with the Lead Data Scientist on solution design, translating AI/ML concepts into maintainable C# components.
• Support integration with the platform's cloud and messaging services (Azure) for real‑time and asynchronous processing.
• Support integration with the platform's cloud and messaging services (Azure) for real‑time and asynchronous processing.
• Stay current with software engineering and applied Generative‑AI practices relevant to the platform, and help adopt new tooling as it matures.
• Participate in technical alignment meetings with the team and clinical stakeholders.

Your profile:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum 1–2 years of professional software development with demonstrated, production‑grade C# / .NET experience. Preferred range is 3–5 years, enabling faster ramp‑up on the platform's proprietary framework and clinical system complexity.
• Git source control and collaborative development workflows
• Azure Dev Ops / YAML CI/CD pipelines
• Docker / containerization — all services run in containers; basic familiarity required
• Azure platform services:
  Azure OpenAI, Azure Service Bus, Azure AI Services
• Spanish:
  Native or fluent (team communication)
• English:
  Professional proficiency (documentation and tooling)
• IT skills:
• C# / .NET 8 — required; async/await, IAsync
  
  Enumerable, DI, REST APIs
• ASP.NET Core — middleware pipeline, IOptions, controller and hub patterns
• Valued (differentiators):
• Angular / Type Script / JavaScript — front‑end contribution
• SignalR — real‑time streaming hub; HITL concurrency patterns
• SQL / Vertica — querying and validating clinical patient data at the terminal columnar…