Microsoft
Principal Software Engineering Manager
$143K–$304K
Redmond, WA · On-site · Principal · Full-time · Posted Oct 1, 2026
- Experience
- Required: 6+ years technical engineering experience with coding, or equivalent experience. Preferred alternatives include 12+ years with a bachelor's degree, 8+ years with a master's degree, or equivalent experience; also preferred: 10+ years large-scale software experience and 4+ years people management.
- Education
- Bachelor's Degree in Computer Science or related technical discipline, or equivalent experience.
About the job
Leads engineering strategy, teams, and operations for Microsoft’s cloud-scale service-to-service authentication and identity systems.
What you'll do
- Lead, coach, and grow an inclusive engineering team; set technical vision, architecture, and roadmap for authentication capabilities.
- Drive cross-team delivery of secure, scalable, and resilient identity solutions, partnering across Azure, Security, Entra, and platform teams.
- Ensure operational excellence and security, and guide adoption of AI-powered and AI-assisted engineering practices.
What they ask for
- Bachelor's Degree in Computer Science or a related technical discipline and 6+ years of technical engineering experience coding in listed languages, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
- 10+ years designing, building, and delivering large-scale software products, cloud services, or distributed systems.
- 4+ years of people management experience; experience with AI technologies and technical leadership at scale.
Pay
USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)
Tools
C, C++, C#, Java, JavaScript, Python, Azure, Entra
AI focus
Lead adoption of AI-powered and AI-assisted engineering practices; preferred experience using AI technologies to build intelligent systems, improve engineering productivity, and deliver customer experiences.
Model-written summary · the original posting is authoritative