Site Reliability Engineering Manager
Google· enterprise· Internet & Cloud Services· Jul 17, 2026 · 3mo agoPosted 102 days ago
New York, NY, USA
In office
Full-time
Manager
$160K–$210K est.
8+ years exp
Before you apply
Ghost Signal:
Open since July 17, 2026 — 102 days, and still accepting applications.
Job description
As members of the Caching SRE team within AI Foundations, we build and operate Google’s core caching infrastructure, delivering ultra-low latency and zero-downtime reliability at planetary scale. We provide SRE partnerships for high performance services that underpin Search, Gemini, Workspace, Ads, YouTube and many other critical systems.
We operate as a globally distributed organization. We embed with our development partners to engineer responsiveness, resilience and best practices into the product. Our goal is to systematically reduce the cost of operating Google’s caching infrastructure while meeting the growing demands of Google’s business and its customers.
In this role, you will lead a team positioned directly on the critical path of Google's most vital systems. You will require high standards, operational excellence and serve as a foundation for driving massive business impact and continued career growth. You will have the flexibility to build deep domain expertise in a single system, or to drive broad architectural initiatives as an infrastructure generalist.
As a leader, you will foster a culture of engineering excellence and define the technical strategy for a high-performing team. Acting as the primary SRE liaison from design through delivery, you will architect resilient, automated production environments that meet stringent Service Level Objectives (SLOs). You will lead the team through some of Google's most pressing challenges.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Lead, mentor, and grow a team of SREs. Drive technical execution, task management, and project delivery.
• Drive service reliability and performance, including end-to-end availability, low latency, high performance, and efficiency of critical systems in close partnership with Product Management and Engineering teams.
• Lead the team in building automation to prevent problem recurrence, reduce toil, and improve system reliability.
• Advocate and uphold Google's blameless SRE postmortem culture and drive production excellence.
• Perform, manage and improve on-call rotations, spanning multiple continents, ensuring healthy on-call practices and response. Be part of a Tier-1 on-call rotation (5 min on-call response time).
• 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, including data structures and algorithms.
• 3 years of experience managing people or teams, leading projects, and designing, analyzing, and troubleshooting distributed systems.
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, including data structures and algorithms.
• 3 years of experience managing people or teams, leading projects, and designing, analyzing, and troubleshooting distributed systems.
Preferred qualifications:
• Experience with on-call rotation.
• Experience with postmortem and root cause analysis.
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
ai
- Platform
- Effort
- medium