Network Automation Engineer, AI and Infrastructure

MINIMUM QUALIFICATIONS:

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

equivalent practical experience.

* 3 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 utilizing SQL and querying complex data structures to retrieve

network diagnostics, combined with statistical analysis or AI/ML insights to

identify failure trends.

* Experience with planning and designing large scale networks (e.g., multiple

sites, multiple products, etc.).

* Experience developing software tools that programmatically analyze and

troubleshoot global-scale IP (e.g., routing protocols, control planes) or

optical networks (e.g., DWDM, OTN).

* Experience in Go programming and working with internal RPC/service

frameworks, databases, and large-scale data pipelines.

* Experience creating formal technical requirements and design documents for

complex, scalable software applications and services.

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.

In this role, you will

• work at the intersection of global core network
• engineering and software engineering to build software solutions and introduce
• technologies. You will design and implement systems that directly enhance
• Google's network reliability, reduce operational toil, and optimize global cost
• per byte.
• 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: $126000 - $181000 (USD) + 15% bonus target + equity + benefits
• Learn more about benefits at Google
• [https://www.google.com/about/careers/applications/benefits/].
• RESPONSIBILITIES:
• * Drive the quantifiable analysis of measurements, or data and capacity
• forecast models for making networks more scalable, efficient, and deliver
• predictable user experience.
• * Evaluate the current inefficiencies, complexities, and flaws in network
• systems, and propose designs, software, and processes to improve them.
• * Develop software that improves the performance, safety, transparency, and
• manageability of network systems.
• * Participate in rotating schedules with other team members, including
• weekends.