Software Engineering Manager II, Site Reliability Engineering, AI Foundry SRE

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.
• 3 years of experience managing people or teams.
• 3 years of experience leading projects.

Preferred qualifications:

• Master's degree in Computer Science or Engineering.
• Experience effectively, efficiently, and responsibly applying AI tooling and workflows to engineering practices.
• Experience leading teams through organizational consolidations, team mergers, or significant transitions, unifying operational standards, aligning team cultures, and establishing sustainable multi-site on-call rotations across distributed global hubs.
• Deep practical expertise in Site Reliability Engineering practices, including SLO/SLI definition, capacity planning, disaster recovery, complex incident management, and postmortem culture for mission-critical services.
• Proven track record of collaborating closely with Software Engineering (SWE), product teams, and policy/compliance stakeholders.

About the job:

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

You will have direct ownership of Google's foundational data pipeline and will manage the end-to-end web journey, from planetary-scale fetching via Harpoon and Trawler to high-throughput indexing through Raffia and Indexing Engine.

You will work with systems that form the live data backbone powering Tier-0 Search surfaces and critical training pipelines for Google DeepMind and Gemini models globally; shapeing operational norms, build a sustainable cross-site rotation, and guide a mission-critical organization at the frontier of Google's AI future.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next-generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Manage a team of Software/Systems Engineers on projects for users and remain directly responsible for uptime.
• Own the end-to-end availability and performance of key services, build automation to prevent problem recurrence, and automate responses to all non-exceptional service conditions.
• Mentor the team by example and establish credibility through quality technical execution.
• Coordinate on-call rotations across continents, using a follow-the-sun model.
• Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.