Staff SRE Engineer, Caching & Reliability - Equity & Bonus

Google Inc.

New York (NY)

On-site

USD 207,000 - 300,000

Full time

14 days+
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Job summary

Google is seeking a Staff Software Engineer in Site Reliability Engineering, focusing on caching SRE in New York. You will architect resilient production environments and lead critical reliability initiatives, including capacity planning and cross-team collaboration to meet demanding SLIs.

A strong focus on distributed systems, leadership, and AI-informed infrastructure decisions is essential. Join a team that values engineering excellence, scalable systems, and blameless postmortems while

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 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.
  • Practice sustainable incident response and blameless postmortems.

Skills

Distributed systems
Leadership
Programming languages
AI proficiency

Education

Bachelor's degree in Computer Science

Job description

Google is seeking a Staff Software Engineer in Site Reliability Engineering, focusing on caching SRE in New York. You will architect resilient production environments and lead critical reliability initiatives, including capacity planning and cross-team collaboration to meet demanding SLIs.

A strong focus on distributed systems, leadership, and AI-informed infrastructure decisions is essential. Join a team that values engineering excellence, scalable systems, and blameless postmortems while

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