Senior Site Reliability Engineer — Scale & Reliability Lead

Google

Sunnyvale (CA)

On-site

USD 174,000 - 252,000

Full time

6 days ago
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Job summary

Google is hiring Site Reliability Engineers (SRE) in Sunnyvale, CA, to ensure reliability and performance across Google’s services. The role blends software and systems engineering, allowing code fixes to improve systems while maintaining production reliability at scale.

Ideal candidates will have strong experience in distributed systems, capacity planning, and leadership. The position includes a focus on uptime, latency, and capacity, with opportunities to influence the full stack and the

Qualifications

  • Bachelor's degree or equivalent practical experience required.
  • 5 years of software development experience in one or more programming languages.
  • 3 years designing, analyzing, and troubleshooting large-scale distributed systems.
  • 2 years leading projects and providing technical leadership.

Responsibilities

  • Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement.
  • Support services before go-live through system design consulting and development of software platforms and frameworks.
  • Maintain services once live by measuring availability, latency and health.
  • Scale systems sustainably through automation and changes that improve reliability and velocity.
  • Practice sustainable incident response and blameless postmortems.

Skills

Software development experience
Distributed systems design
Technical leadership

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or Engineering

Job description

Google is hiring Site Reliability Engineers (SRE) in Sunnyvale, CA, to ensure reliability and performance across Google’s services. The role blends software and systems engineering, allowing code fixes to improve systems while maintaining production reliability at scale.

Ideal candidates will have strong experience in distributed systems, capacity planning, and leadership. The position includes a focus on uptime, latency, and capacity, with opportunities to influence the full stack and the

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