Google

Senior Network Engineer, Global Network Edge

Google Sunnyvale, California, United States · $150K–$217K/yr

Software Development · 10,001+ employees

8 h ago
network-engineer Senior (5-10 yrs) Full-time United States
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About the role

Lead the development of software and networking solutions to improve the performance, safety, and manageability of Google's network systems. Manage the full lifecycle of networks from design and qualification through to deployment, operation, and optimization.

What they look for

Network Routing Network Design Troubleshooting C++ Go Python Large Scale Networks Network Operations Hardware Components System Performance Software Development Network Lifecycle Management Infrastructure Data Center Operations

Requirements

Requires a bachelor's degree in Computer Science, Engineering, or a related field. Candidates must have at least 6 years of experience with network routing protocols, design, and troubleshooting.

Benefits

Bonus Equity Health Insurance

Full description

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 in one or more programming languages such as C++, Go, or Python.

Preferred qualifications:

  • Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).

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:

  • Lead the development of software and networking solutions that improves the velocity, performance, safety, transparency, and manageability of Google network systems across various engineering teams.
  • Engage in and improve the whole lifecycle of networks from inception and design, to qualification and validation, through deployment, operation, and optimization.
  • Drive innovation and independently create requirements and develop designs for new networking product ideas, process improvements, technology velocity, higher systems performance, and cost reductions across organizational boundaries.
  • Own resolution for software, hardware, and other network and system problems by determining and recommending appropriate solutions in partnership with other engineering teams.

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