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AI Job Summary

Support services through their full lifecycle—from design and deployment to ongoing operation and refinement. Responsibilities include system design consulting, platform development, capacity planning, monitoring availability and latency, incident response, and driving reliability improvements through automation. Requires a Bachelor's degree in Computer Science or equivalent, eight years of software development experience, four years leading technical projects, and three years designing and troubleshooting 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.
  • 4 years of experience leading projects, and providing technical leadership.
  • 3 years of experience in designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

  • Master's degree in Computer Science or Engineering.
  • 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.
  • 4 years of experience leading projects, and providing technical leadership.
  • 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
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  • Role Senior Staff Software Engineer, Site Reliability Engineering
  • 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.

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Job Overview

Approx. salary range

209K – 286K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 38 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:
4 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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