Member of Technical Staff - Data Infrastructure Engineer (DevOps|SRE|Platform Engineering|MLOps)

Microsoft AI (MAI) is seeking an experienced Data Infrastructure Engineer to join their team building personal AI and Copilot systems. This role combines platform engineering, DevOps/SRE practices, and MLOps to support large-scale data workflows and AI model development.

The position is part of Microsoft's ambitious AI initiative, focusing on building intelligent systems across agents, applications, services, and infrastructure. The team is responsible for mission-critical platform components that drive data pipelines and enable seamless human-AI interactions.

As a Member of Technical Staff, you'll work on designing and maintaining scalable data and ML infrastructure, implementing DevOps best practices, and developing self-service tooling. The role requires technical depth in distributed systems, containerization, and automation, along with strong collaboration skills.

The position offers competitive compensation ($158,400 - $258,000 in NYC) and comprehensive benefits including healthcare, educational resources, and parental leave. This is an opportunity to work at the forefront of AI development while contributing to Microsoft's mission of making intelligence universally accessible.

The role requires 3 days per week in-office presence in New York City or Redmond. You'll be part of a world-class engineering culture that values empathy, collaboration, and continuous learning. This is an excellent opportunity for experienced engineers passionate about building scalable infrastructure for AI systems and working with cutting-edge technologies.

Microsoft provides an inclusive work environment and equal opportunities regardless of background. The position offers significant growth potential and the chance to impact the future of AI technology while working with industry-leading professionals in the field.