Senior Staff Software Engineer, Site Reliability Engineering, Workspace AI

Job Description

Own the architecture and design of reliable, scalable, cost-effective, and performant AI inference and training infrastructure, partnering with development teams and technical leads. Lead production incident response and blameless postmortems, promote AI-first development, and collaborate with SRE leaders across Google to share scalable solutions.

Requirements: Requires a bachelor's degree in computer science, a related field, or equivalent practical experience; at least eight years of software development experience; four years leading projects and providing technical leadership; and three years designing, analyzing, and troubleshooting distributed systems. Experience with machine learning or AI in a software development environment is required, while a master's degree in computer science or engineering is preferred.

Key Skills: Software Development, Technical Leadership, Distributed Systems, Machine Learning, Artificial Intelligence, Site Reliability Engineering, AI Infrastructure, Inference Infrastructure, Training Infrastructure, System Architecture, Large-Scale System Design, Incident Response, Blameless Postmortems, Automation, Scalability, Performance Optimization

Benefits: Bonus, Equity, Benefits