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Senior · 5+ years exp
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Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Google scores B on the Alion truth index.

Overview
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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

Site Reliability Engineering (SRE) is what you get when you treat operations as if it’s a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google’s public services - Search, Ads, Gmail, Android, YouTube, and AppEngine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity.

This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and configuration problems. Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both.

Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from planet-spanning databases to near real-time scalable data warehousing to fault-tolerant datastream joining. In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We literally do learn something new every day - usually surprising things - that have the potential to transform the lives of billions of our users around the world.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.

Qualifications

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems.
  • 2 years of experience leading projects and providing technical leadership.

Preferred qualifications:

  • Master's degree in Computer Science or Engineering.
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