About the role

What will you do at Google?

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 applying software development in network engineering,

understanding network architectures (WAN, Campus), protocols, and capacity

planning principles.

* Experience integrating automation tools with network systems and data sources

via APIs, network models, and demand forecasting data.

* Proficiency in developing Python automation scripts and tools for solving

complex network planning and design challenges like topology generation,

capacity analysis, and Plan of Record (POR) creation.

* Familiarity with software development best practices, including version

control, code reviews, testing, and documentation for network automation

projects.

* Ability to use Python and libraries like Pandas to process, analyze, and

visualize network datasets for data-driven decisions.

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 a Network Automation Engineer , you will be a key architect in scaling

Google's global network infrastructure by strategically planning and designing

the future capacity and topology of the network. This role is critical for

meeting the demands of Google Cloud and all Product Areas by transforming

network planning through AI and automation. You will lead the shift to

intention-based planning, leveraging AI agents and "Agentic Skills" to automate

high-volume tasks and generate auto-validated Plans of Record (PORs). This

includes using AI-driven models for demand translation and automating the

complex L3-to-L1 mapping process, thereby enhancing efficiency and accuracy in

network planning.

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 channel 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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Design, develop, and implement AI agents and automation scripts (primarily

using Python) to transform network planning processes, including demand

translation, topology generation, and L3-L1 mapping, leading the shift to

intention-based planning.

* Build, test, and integrate modular, reusable "Agentic Skills" into the

network planning pipeline to generate auto-validated Plans of Record (PORs),

enhance efficiency, and minimize manual intervention, bypassing legacy UI

limitations.

* Analyze network planning workflows to identify automation opportunities.

Collaborate closely with cross-functional stakeholders to define automation

requirements, ensure seamless integration of new tools and processes, and

proactively resolve technical obstacles.

* Provide technical leadership and expertise in network automation, AI

application in networking, data analysis, and software development best

practices.

* Drive the adoption of innovative solutions and contribute to the technical

strategy and roadmap for network planning automation.

Which skills does this role require?

Network Routing ProtocolsAI AgentsCapacity PlanningGoC++API IntegrationNetwork DesignVersion ControlData AnalysisL3-to-L1 MappingNetwork ArchitectureCampus NetworkAPIIntention-Based PlanningHyperscale ComputingTPUsVertex AIGoogle CloudNetwork InfrastructureRouting ProtocolsSoftware Development Life CycleGlobal NetworkingData Center OperationsSystems ResearchGCPProduct Strategy

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