Senior Network Engineer

Google; Reston (VA); On-site; USD 150,000 - 218,000; Full time

Benefits offered by this job

Bonus target

Equity

Comprehensive benefits

Job summary

Google’s Network Engineering team leads the design and operation of a global production network to support millions of users. The role involves capacity augments, migrations, and introducing new technologies across regions, in collaboration with software teams to streamline automation and tooling.

The AI and Infrastructure team drives scalable, reliable systems for services powering Google Cloud, data center operations, and advanced AI platforms, with a focus on performance and reliability.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 6 years of experience with network routing protocols, design and troubleshooting.
• Experience planning and designing networks across multiple sites/products.

Responsibilities

• Produce network plans and designs for global production network to meet SL0 and capex/opex targets.
• Coordinate with internal partners to gather drivers and deadlines for capacity delivery.
• Design high‑bandwidth delivery solutions and plan resources, including NPIs.
• Contribute to the automation roadmap to reduce cycle time and improve quality.
• Evolve processes for the design generation lifecycle and governance.

Skills

Network routing protocols

Network design and troubleshooting

Planning and designing networks across

Python/Go/C++ for automation

Data center / colocation environments

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

The application window will be open until at least August 07, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

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.

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.

As part of this team, you will help plan and design a global production network. In this role, you will be involved in capacity augments, migrations, and new technology introductions globally. You will help ensure that the network is built on time while meeting reliability and policy requirements. You will also develop network planning and design practices, processes, and tooling. Additionally, you will partner with software teams to guide the software automation roadmap, helping to improve quality and reduce 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 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 - $218000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Produce plans and designs to meet network infrastructure and capacity plans for the global production network in line with established standards and product service level objectives (SLO), and help establish a proper balance of capital expenditures (CapEx) and operational expenditures (OpEx).
• Communicate with internal business partners to collect drivers and deadlines for delivering network capacity.
• Design solutions for high‑bandwidth network delivery, creating project plans that identify resource needs and key paths, while incorporating New Product Introduction (NPI) solutions and ensuring toolset and process readiness.
• Contribute to the automation roadmap to reduce cycle time and improve quality and consistency.
• Evolve business processes governing the design generation lifecycle (including input gathering, validation, publication, and handoff), specifically defining the governing policies.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.