AI Infrastructure SRE Manager – Scale & Reliability

Google; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's Core AI Foundations SRE team is seeking an experienced Site Reliability Engineer to lead a North American SRE group, partnering with development teams and our Sydney counterpart to ensure exceptional reliability for Google's frontier AI capabilities.

The role combines software and systems engineering to design, build, and operate large-scale, fault-tolerant infrastructure, with opportunities to mentor engineers, drive roadmaps, and advance AI-driven automation across products such as

Qualifications

• Bachelor’s degree in Computer Science, related field, or equivalent practical experience.
• 8 years of software development experience in one or more programming languages (C++, Java, Python) or with data structures/algorithms.
• 3 years designing, analyzing, and troubleshooting large-scale distributed systems.
• 3 years managing and growing engineering teams, including performance management and career development.

Responsibilities

• Hire, develop, and mentor a high-performing SRE team to support career growth and team health.
• Set team goals, prioritize resources, and define technical roadmaps aligned with partner teams and key stakeholders.
• Guide the architecture and review of resilient, high-performance systems powering core AI infrastructure.
• Drive incident response, maintain high reliability standards, and actively automate operational toil.
• Partner across development teams to align technical direction while leveraging AI to accelerate team productivity.

Skills

C++

Java

Python

Distributed systems

People management

Education

Bachelor’s degree in CS or related field

Job description

Google's Core AI Foundations SRE team is seeking an experienced Site Reliability Engineer to lead a North American SRE group, partnering with development teams and our Sydney counterpart to ensure exceptional reliability for Google's frontier AI capabilities.

The role combines software and systems engineering to design, build, and operate large-scale, fault-tolerant infrastructure, with opportunities to mentor engineers, drive roadmaps, and advance AI-driven automation across products such as