Principal Software Engineering Manager at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

274800.0

Posted On

09 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Engineering, Collaboration, Innovation, Architectural Direction, Distributed Systems, Cloud Platforms, Kubernetes, Microservices, SQL, Performance Optimization, Technical Roadmaps, Cross-Org Collaboration, Mentoring, Coaching, Operational Excellence

Industry

Software Development

Description

Overview Join us at Microsoft AI as we build the next-generation Agentic Platform—powering intelligent, autonomous agents that reason, collaborate, and dynamically orchestrate tasks across distributed systems at global scale. In our team, you will lead exceptional engineers to transform groundbreaking research into real-world platform capabilities used by millions. We foster curiosity, innovation, and an inclusive culture where everyone can thrive. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Lead and develop a high-performing engineering team, fostering an inclusive culture of collaboration, innovation, and excellence. Drive technical strategy and execution, setting clear goals, roadmaps, and delivery milestones for the Agentic Platform. Guide architectural direction across distributed systems and services to ensure scalability, resilience, reliability, and performance at internet scale. Partner with cross-functional leaders in AI research, infrastructure, and product teams to transform breakthroughs into production-ready capabilities. Oversee engineering best practices including operational excellence, observability, system reliability, and continuous improvement. Define and optimize compute workflows, data access patterns, and storage architecture to meet strict SLA and performance requirements. Mentor and coach engineers and technical leads, supporting career growth and strategic team development. Champion modern engineering practices and new technologies, staying informed on industry trends and opportunities to elevate platform capability. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Computer Science or related technical field AND 8+ years of engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years of engineering experience OR equivalent hands-on experience. 4+ years of people management experience, leading and developing high-performing engineering teams. Extensive experience architecting and scaling large-scale distributed systems with solid knowledge of distributed design patterns, system reliability, and performance optimization. Hands-on expertise building and operating services on Microsoft Azure or other major cloud platforms. Deep experience with Kubernetes, container orchestration, microservices, and cloud-native runtime environments. Solid understanding of SQL and distributed data storage systems, including performance tuning and high-availability strategies. Proven ability to define technical roadmaps, make strategic architectural decisions, and deliver complex systems at scale. Excellent cross-org collaboration skills and ability to influence across research, infrastructure, and product teams. #MicrosoftAI #BING Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Lead and develop a high-performing engineering team while driving technical strategy and execution for the Agentic Platform. Oversee engineering best practices and partner with cross-functional leaders to transform research into production-ready capabilities.