Staff SRE Engineer — Home IoT & Cloud Reliability
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Job summary
Google in San Francisco is seeking a Site Reliability Engineer (SRE) to help build and run large-scale, massively distributed, fault-tolerant systems. You will focus on reliability, uptime, and performance for Google Cloud services, collaborating with teams to design scalable backends and automate operations.
The role emphasizes problem solving, curiosity, and mentorship in a diverse, blame-free culture, with opportunities to influence architecture, improve ML serving, and contribute to
Qualifications
- Bachelor’s degree in Computer Science, related field, or equivalent practical experience.
- 8 years of experience at software development in one or more programming languages.
- 3 years of experience leading projects.
- 3 years of experience designing, analyzing, and troubleshooting distributed systems.
Responsibilities
- Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement.
- Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
- Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Define the technical outlook, architectural roadmap, and reliability strategy for Home SRE.
Skills
Education
Job description
Google in San Francisco is seeking a Site Reliability Engineer (SRE) to help build and run large-scale, massively distributed, fault-tolerant systems. You will focus on reliability, uptime, and performance for Google Cloud services, collaborating with teams to design scalable backends and automate operations.
The role emphasizes problem solving, curiosity, and mentorship in a diverse, blame-free culture, with opportunities to influence architecture, improve ML serving, and contribute to
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