Senior Network Automation Engineer, Network Infrastructure and Capacity

Job description

from Google careers

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.

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.

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.