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Alphabet · Thornton, CO

Network Automation Engineer

Thornton, CO, USAOperations

Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.

Apply on Alphabet’s careers site →

Job description

info_outline About the job Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues.

Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services. The Network Repair Engineering team operates one of the most reliable, core networks using a highly automated repair framework embedded in its systems and processes.

Its strategy is centered on making automation and technology a multiplier for Google Network Operations. The team combines global core network engineering with software development to build solutions and introduce technologies that significantly improve network reliability and reduce operational costs. 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

$104000 - $148000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .

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