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Principal Software Engineer - M365 Copilot App

Microsoft

$139,900 - $304,200
Oct 29, 2025
Redmond, WA, US
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The M365 Copilot App Platform team needs to design, implement, and maintain scalable, secure, and reliable services that power AI-enabled experiences in Microsoft 365 Copilot across platforms, contributing to a product central to Microsoft's AI strategy.

Requirements

  • 6+ years technical engineering experience with coding in languages including, but not limited to, C-Sharp, JavaScript, TypeScript, or Python
  • 6+ years of software engineering experience working on web services.
  • Demonstrated hands-on experience with C-Sharp/ASP.Net, node.js, or comparable backend technologies.
  • Experience with TypeScript for client-side application development.
  • Experience with TypeScript for client-side application development.

Responsibilities

  • Lead the design and implementation of new middle-tier features working with architects and other individual contributors.
  • Develop and maintain the middle-tier, APIs, deployment pipelines, and infrastructure.
  • Design, produce and deliver software to improve reliability, scalability, performance, security, efficiency, etc.
  • Opportunity for full-stack development work that spans our client app and middle-tier services.
  • Design and improve deployment, monitoring and recovery processes.
  • Apply metric-driven approach to improve service quality and reduce customer-impacting incidents
  • Monitor and maintain health of distributed services for high availability and resiliency.

Other

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  • Ability to work independently and take initiative in a fast-paced environment.
  • Effective communication and collaboration across cross-functional teams.
  • Demonstrated ability to solve complex problems using adaptable and innovative approaches.