Job Description

Come shape the future of AI; this is the team where your work will matter immediately and at massive scale.

As Microsoft pushes the boundaries of what AI can do, we’re searching for passionate builders ready to tackle the most exciting and complex challenges of our time. Our vision is bold: create true artificial intelligence across agents, applications, services, and infrastructure — and make it accessible to everyone.

Microsoft is hiring an experienced Platform Engineering Manager to help power the next generation of our personal AI, Copilot. You’ll bring deep technical expertise, strong backend engineering skills, and a mastery of templating to architect durable, elegant systems. Just as importantly, you’ll bring positive energy, empathy, and a collaborative spirit to a team that values kindness as much as technical excellence. If you thrive in fast-paced environments and love building world-class consumer experiences, you’ll feel right at home.

Our Platform Engineering team builds the APIs that enable finetuning, deployment, and the core Copilot experience, partnering closely with Product, Design, and AI Research to bring breakthrough ideas to life.

At Microsoft, we empower every person and organization to achieve more. We operate with a growth mindset, innovate to uplift others, and work together with respect, integrity, and accountability to create an inclusive culture where everyone can thrive.

Responsibilities

Build secure, high‑performance AI platform services that power Copilot.

• Collaborate with platform, infrastructure, application engineers, and AI researchers to create next‑generation AI products.
• Ship high‑quality, well‑tested, secure, maintainable code.
• Navigate obstacles with creativity and urgency to deliver value quickly and iteratively.
• Work in a fast‑paced, design‑driven product development cycle.
• Embody our  Culture and  Values

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineeringexperience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Or equivalent experience
• 3+ years of people management experience

Preferred Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years people management experience
• 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
• 4+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. .
• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

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

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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.