Staff SRE Engineer, Distributed Systems & Caching

engineeringjobs.net, Inc.

Ionia (NY)

On-site

USD 207,000 - 300,000

Full time

7 days ago
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Benefits offered by this job

Bonus target 20%
Equity
Benefits

Job summary

Google is seeking a Staff Software Engineer, Site Reliability Engineering, focusing on caching SRE in New York. The role emphasizes ownership of outcomes, solving ambiguous problems, and influencing stakeholders within Google Cloud’s large-scale, fault-tolerant systems.

Responsibilities include architecting resilient production environments, scaling architecture, and driving reliability across cross-functional teams, with a strong emphasis on automation and performance.

Qualifications

  • Bachelor's degree in Computer Science or related field or equivalent practical experience.
  • 8+ years of software development experience.
  • 3+ years of experience leading projects.
  • 3+ years 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 automation and evolving systems to improve reliability and velocity.
  • Practice sustainable incident response and blameless postmortems.

Skills

Bachelor's degree in Computer Science
8+ years software development
3+ years leading projects
3+ years distributed systems

Education

Master's degree in Computer Science or Engineering

Job description

Google is seeking a Staff Software Engineer, Site Reliability Engineering, focusing on caching SRE in New York. The role emphasizes ownership of outcomes, solving ambiguous problems, and influencing stakeholders within Google Cloud’s large-scale, fault-tolerant systems.

Responsibilities include architecting resilient production environments, scaling architecture, and driving reliability across cross-functional teams, with a strong emphasis on automation and performance.

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