New 
Member of Technical Staff - Data Infrastructure Engineer (DevOps|SRE|Platform Engineering|MLOps
 Microsoft | |
 United States, New York, New York | |
 Jul 02, 2025 | |
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OverviewAs Microsoft continues to lead the frontier of artificial intelligence, we are seeking passionate and driven engineers to solve some of the most challenging and impactful AI problems of our time. Our vision is bold: to build intelligent systems across agents, applications, services, and infrastructure - and to make this intelligence universally accessible for consumers, businesses, and developers alike. Microsoft AI (MAI) is looking for an experienced Data Infrastructure Engineer to join the team behind personal AI and Copilot systems. We are building mission-critical platform components that drive data pipelines, enable seamless human-AI interactions, and power the evolution of intelligent systems. This role blends platform engineering, DevOps/SRE practices, and MLOps to support large-scale data workflows and AI model development. You'll bring technical depth, a passion for automation and observability, fluency in distributed systems, and the creativity to architect solutions that scale. Just as importantly, you'll bring empathy, a collaborative spirit, and a growth mindset to support a world-class engineering culture. This position is based in New York, NY or Redmond, WA, with an in-office requirement of 3 days per week.
ResponsibilitiesDesign, build, and maintain scalable, reliable, and observable data and ML infrastructure that powers mission-critical AI applications.Implement DevOps and SRE best practices, including automated deployments, service monitoring, and incident response.Develop self-service tooling and workflows that streamline developer and researcher productivity.Create robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code (Bicep, Terraform, ARM).Collaborate closely with AI researchers, platform engineers, and application developers to deliver seamless and secure data workflows.Participate in technical design reviews and contribute to maintaining a clean, secure, and well-documented codebase.Proactively identify and resolve bottlenecks and inefficiencies in data pipelines and infrastructure.Embody and promote Microsoft's culture and values of respect, integrity, accountability, and inclusion. | |