Google

Senior Network Engineer, Google Global Networking

Google Thornton, Colorado, United States · $150K–$217K/yr

Software Development · 10,001+ employees

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

The role involves creating automation for network monitoring and troubleshooting to improve network health and reliability. You will also debug complex issues, determine root causes for incidents, and collaborate with engineering teams to operationalize scalable platforms.

What they look for

IP Networking Routing Protocols Network Operations Troubleshooting Python Automation Cloud Networking Fiber Optics Transport Networks IP/MPLS Software-Defined Networking Data Analysis Network Infrastructure Scripting System Reliability

Requirements

Candidates must have a bachelor's degree in a technical field and at least 6 years of experience in IP networking, routing, and infrastructure. Proficiency in Python for automation and experience with cloud networking or fiber optics are required.

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 IP networking, routing protocols, and network connectivity.
  • Experience in network operations, troubleshooting, and infrastructure.
  • Experience with Python and coding for automation.
  • Experience with cloud networking, fiber optics, and transport networks.

Preferred qualifications:

  • Experience troubleshooting hardware and software on large-scale IP/MPLS networks.
  • Experience with one or more scripting languages (e.g., Python).
  • Experience analyzing business processes and creating data-driven recommendations for improvement.
  • Experience with network routing and switching at scale, as well as IP network infrastructures and protocols.
  • Experience with Software-Defined Networking (SDN), including control plane, data plane, and management plane.

About the job:

The Global Network Operations team runs the most reliable network, proactively monitoring and fixing issues, ensuring our users and customers are connected, our products are the most available and that we meet Google's demanding growth.

As a Network Engineer in the Google Global Networking (GGN) team, you will work with other network engineers and technology teams in Google to identify and mitigate risks and ensure the smooth operation of core networking systems and platforms on the Google production network.

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:

  • Create workflow, network monitoring, and troubleshooting automation to improve the network.
  • Debug complex issues and determine root causes for incidents impacting the network and customers.
  • Develop, debug, and mitigate risk profiles to maintain optimal network health.
  • Lead improvements in documentation, playbooks, and training for support organizations.
  • Work with network design, deployment, and engineering teams to operationalize stable, scalable platforms.

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