Member of Technical Staff -platform Engineering Manager

Microsoft Microsoft · Big Tech · Mountain View, CA +1 · Software Engineering

This role is for a Platform Engineering Manager at Microsoft, focusing on building and scaling the AI platform services that power Copilot, Microsoft's personal AI assistant. The role involves managing a team to develop APIs for finetuning, deployment, and core Copilot experiences, collaborating with AI researchers and product teams to bring AI products to life. The focus is on high-performance, secure, and scalable backend systems for consumer-facing AI products.

What you'd actually do

  1. Build secure, high‑performance AI platform services that power Copilot.
  2. Collaborate with platform, infrastructure, application engineers, and AI researchers to create next‑generation AI products.
  3. Ship high‑quality, well‑tested, secure, maintainable code.
  4. Navigate obstacles with creativity and urgency to deliver value quickly and iteratively.
  5. Work in a fast‑paced, design‑driven product development cycle.

Skills

Required

  • 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
  • 3+ years of people management experience

Nice to have

  • 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
  • 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.

What the JD emphasized

  • experienced Platform Engineering Manager
  • deep technical expertise
  • strong backend engineering skills
  • mastery of templating
  • architect durable, elegant systems
  • partnering closely with Product, Design, and AI Research
  • AI platforms, frameworks, and APIs
  • deploying, and scaling language learning models

Other signals

  • AI platform services
  • personal AI, Copilot
  • APIs that enable finetuning, deployment
  • language learning models