Senior Software Engineer

Microsoft hybrid • Redmondfull_time
Core AI at Microsoft powers intelligent experiences across Microsoft 365, Azure, and beyond. 
 
The Dotnet Engineering team builds and operates the engineering system that powers .NET, one of the most widely used open-source developer platforms. Our infrastructure enables the building, testing, and deployment of .NET across multiple environments, ensuring reliability, scalability, and performance for millions of developers worldwide.
 
What We Do
  • Engineering System Development: Design and maintain pipelines, tooling, and automation that build, validate, and release .NET.
  • AI-Driven Optimization: Apply machine learning and AI techniques to improve build efficiency, reduce cycle times, and predict failures before they occur.
  • Cloud-Scale Infrastructure: Operate services that run at global scale, leveraging Azure for distributed builds and testing.
  • Security & Compliance: Ensure secure, compliant workflows for all .NET releases.
  • Developer Productivity: Innovate on developer experiences by integrating intelligent automation and telemetry-driven insights.
 
 
We are seeking engineers passionate about .NET and AI-driven engineering systems. This role focuses on designing and implementing features for the engineering system that builds, tests, and deploys .NET, leveraging AI to optimize workflows, accelerate development, and enable next-generation developer experiences.
 

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

  • Engineering System Development: Design and maintain pipelines, tooling, and automation that build, validate, and release .NET.
  • AI-Driven Optimization: Apply machine learning and AI techniques to improve build efficiency, reduce cycle times, and predict failures before they occur.
  • Cloud-Scale Infrastructure: Operate services that run at global scale, leveraging Azure for distributed builds and testing.
  • Security & Compliance: Ensure secure, compliant workflows for all .NET releases.
  • Developer Productivity: Innovate on developer experiences by integrating intelligent automation and telemetry-driven insights.