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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 Infrastructure 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 4+ 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.
4+ 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 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments
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 reliability, security and ease of use
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, 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 requirements and deadlines
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team