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As 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. Our Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production. We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
Job Responsibility:
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
Requirements:
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
4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
6+ years’ experience in building and releasing production software at the platform level
Solid knowledge of APIs, data flows, systems, and services
Nice to have:
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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Solid experience in designing and building scalable backend services, APIs, and distributed systems in cloud environments
Solid understanding of system design principles, including data modeling, caching strategies, and service-to-service communication (e.g., REST, gRPC)
Ability to troubleshoot and resolve complex backend issues across multiple services, with a focus on reliability, performance, and scalability
Proficiency in writing clean, maintainable, and testable code, with a solid emphasis on code quality, observability, and security best practices
Experience working with databases (SQL/NoSQL), and a deep understanding of data consistency, indexing, and query optimization
Demonstrated ability to collaborate effectively with cross-functional teams, including frontend engineers, product managers, and infrastructure teams
Solid communication skills, with the ability to explain backend architectures and technical trade-offs to both technical and non-technical stakeholders
Ability to operate in a fast-paced environment, handle ambiguity, and manage multiple priorities with a sold sense of ownership
Passion for backend technologies and distributed systems, with a continuous learning mindset toward new frameworks, architectures, and AI-driven backend capabilities
Proven track record of contributing to team growth through code reviews, technical mentorship, and knowledge sharing