Microsoft is looking to solve the problem of building and scaling the backend platform at the core of Microsoft consumer products, integrating with AI models, and developing tools for engineers to bring cutting-edge AI research to production.
Requirements
- 4 years technical engineering experience building services and products in languages such as Python, C, C++, Rust, Java
- 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
- 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
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
- Collaborate closely with cross-functional engineering, product management, and AI research
Other
- Bachelor’s degree in computer science, or related technical discipline
- 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
- Dedication to a positive, inclusive work environment, fostering knowledge sharing and growth within the team
- Must be local to the San Francisco area and in office 3 days a week
