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AI Job Summary

Design and operate caching infrastructure across its full lifecycle, from initial architecture through deployment and ongoing optimization. Lead projects involving distributed systems design, troubleshooting, and reliability improvements while mentoring other engineers. Requires a Bachelor's degree in Computer Science or equivalent experience, eight years of software development, three years leading projects, and three years with distributed systems.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.

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.
  • 3 years of experience leading projects.
  • 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

  • Master's degree in Computer Science or Engineering.
  • Experience mentoring engineers and cultivating a high-standards team culture.
  • Experience applying deep AI proficiency to solve highly ambiguous infrastructure issues and drive significant business impact.
  • Ability to shape technical strategy, influence critical engineering decisions, and drive consensus across cross-functional teams.
  • 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.
Do you match this job?

Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Staff Software Engineer, Site Reliability Engineering, Caching SRE
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

35 more Site Reliability Engineer roles in New York

Job Overview

Approx. salary range

209K – 305K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 63 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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