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.

Our team's mission is to plan and design the world's largest production global network. We are currently involved in a series of dynamic large-scale capacity augments, migrations, and new technology introductions globally. We ensure that the network is efficiently built on-time while meeting our reliability and policy requirements. We also develop network planning and design best practices, processes and tooling. Additionally, we work with software teams to drive the software automation roadmap to improve the quality and reduce the cycle time for network planning and design.

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 team 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.

The US base salary range for this full-time position is $144,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Produce plans and designs to meet all network infrastructure and capacity plans for Google’s global production network in line with established standards and product SLO, establish and ensure proper blend of Cap Ex and Op Ex.

• Communicate with internal business partners to collect drivers and deadlines for delivering network capacity.

• Design solutions for high bandwidth network delivery and create high-level project plans that identify resource needs and critical paths. Incorporate newly NPI’d solutions into plans and designs and  ensure toolset and process readiness for intake.

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.).

Preferred qualifications

• Experience in one or more programming languages (Python, Go, or C++) to drive automation roadmaps and automate complex workflows.

• Experience with managing scaled capacity augment/migration projects in a computer networking environment, including data center or colocation environments.

• Experience with network system design, network architecture and technology and network infrastructure.

• Experience with forecasting, planning and design tools, workflow automation tooling and improvement.

• Experience with defining system or process requirements, building, integrating, or delivering large-scale layer 1, layer 2 or layer 3 network systems.

• Excellent problem solving, cost-benefit analysis, and data analysis skills.