Jobs and Careers

Member of Technical Staff, Platform Engineer

Microsoft

Mountain View, United Statesfull_timeVerifiedPosted 8 May 2025

💰 $250,200/yr($98,300/yr – $250,200/yr)

About the role

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Job Description

OverviewAs Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Microsoft AI (MAI) is seeking experienced Platform Engineers to help shape the next wave of capabilities for our personal AI, Copilot. This role involves building user-facing features powered by Generative AI at the core of the Copilot experience, taking full ownership of their development from inception through delivery. We collaborate closely with cross-functional engineering, product management, design, and AI research teams. Operating within a fast-paced, innovative environment, our focus is on creating software systems that effectively bring cutting-edge AI research to production-ready consumer experiences. Ideal candidates possess deep proficiency in infrastructure and platform engineering, employ a methodical and data-driven approach to problem-solving, and contribute positive energy, empathy, and effectiveness to the team daily. 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. By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
Responsibilities

Design, develop, and maintain performant and secure AI Platform services that power Copilot.
Work collaboratively with platform, infrastructure, application engineers, and AI Researchers to build next generation AI products and services.
Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working 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 field AND 2 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python
OR equivalent experience.
Experience leveraging generative AI technologies to develop innovative and user-focused product features.
4 years' experience building APIs, platforms, and pipelines for large-scale products.
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..

Preferred Qualifications:

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.
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requireme