Network Engineer, Customer Services Edge
Indexed description
- 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.
- 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.
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
Responsibilities
Learn more about benefits at Google .
- 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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