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Open nowFirst seen 11 hours ago

Senior Network Engineer, Customer Services Edge

Google3,111 open roles

Where
Sunnyvale, CA, USA
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Your applicationOpen nowSenior Network Engineer, Customer Services EdgeGoogle · Sunnyvale, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: first seen 11 hours ago

Google median: 27 days open

The posting

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 6 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  • Experience with planning and designing networks (e.g., multiple sites, multiple products, etc.).
  • Experience developing networking products, technologies, software and protocols.

Preferred qualifications:

  • Substantial operational experience with carrier-class routers and switches.
  • Experience in one or more programming languages such as C++, Go, or Python.
  • Ability to debug and optimize code and automate routine tasks.
  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
  • Interest in designing, analyzing and troubleshooting large-scale networks.

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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Drive innovation and create requirements and develop designs for new networking product ideas, process improvements, technology velocity, systems performance, and cost reductions across organizational boundaries.
  • Own the quantifiable analysis of measurements or data and capacity forecast models for making Google networks more scalable, efficient, and deliver a predictable user experience.
  • Evaluate the current inefficiencies, complexities, and flaws in network systems, and propose designs, software, and processes to improve them.
  • Own resolution for software, hardware, and other network and system problems by determining and recommending appropriate solutions in partnership with other engineering teams.
  • Lead and improve the entire life-cycle of a network including inception, network design, qualification, deployment, operation and optimization.
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