HPI - Sr Fullstack Engineer

Join a focused engineering team to broaden real-time telemetry across remote desktop capabilities and advance predictive diagnostics and service capabilities. This senior fullstack Microsoft role emphasizes backend and API development to collect, analyze, and act on telemetry data that improves diagnostics and user experience.

You will work from established architecture to implement diagnostics, telemetry, and integration of AI-driven evaluation into existing systems, with a later front-end component. This role offers an opportunity to deliver high-impact telemetry and diagnostic services and to integrate AI agents/tools via MCP into current APIs and databases.

Responsibilities:

• Design and implement backend services and APIs for telemetry collection and diagnostics.
• Develop .NET components and C# services that process real-time remote desktop telemetry.
• Build and maintain C++ and UEFI diagnostics and telemetry interfaces as required.
• Integrate MCP connectors to link AI agents/tools with existing APIs and databases.
• Introduce AI into diagnostics evaluation workflows and support evaluation pipelines.
• Implement predictive diagnostic logic and service-capability features based on telemetry.
• Collaborate with client teams to follow architectural diagrams and deliver against specifications.
• Ensure code and features comply with existing automated unit test pipelines and quality gates.
• Participate in troubleshooting, performance tuning, and telemetry-driven user-experience improvements.

• Senior-level software engineering experience (5+ years) with proven backend and API development.
• Strong experience with .NET and C# for backend services and APIs.
• Experience developing or interfacing with C++ components.
• Familiarity with UEFI diagnostics and telemetry concepts and implementation.
• Experience integrating MCP or equivalent AI orchestration/connectors to connect multiple AI agents/tools with existing APIs and databases.
• Demonstrated experience broadening or implementing real-time telemetry in complex systems (including remote or distributed environments).
• Experience building predictive diagnostics, service-capability features, or analytics-driven logic from telemetry data.
• Practical experience introducing or integrating AI into diagnostics or evaluation processes.
• Experience working with automated unit tests and compliance to pipelines, including SonarQube and VeriCode.
• Ability to execute against established architectural diagrams and collaborate with client teams.
• Strong problem-solving, communication, and collaboration skills.