Network Engineer, Google Distributed Cloud Labs

MINIMUM QUALIFICATIONS:

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

equivalent practical experience.

* 10 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.

* Experience with network architecture, network administration, network

capacity planning, network configuration.

PREFERRED QUALIFICATIONS:

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

multiple products, etc.).

* Experience with data center architecture, VMware, Kubernetes.

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 Senior Network Engineer on the GDC Labs team, you will be instrumental in

architecting, implementing, and maintaining the network infrastructure crucial

for the entire life cycle of GDC products. You will be expected to lead network

projects, solve ambiguous technical issues, and contribute to the direction of

our lab network designs. At this level, you will operate with significant

autonomy, take ownership of critical network domains, and provide technical

leadership and mentorship to other engineers.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements,

and manages the hardware, software, machine learning, and systems infrastructure

for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users

are Googlers, Cloud customers and the billions of people who use Google services

around the world.

We prioritize security, efficiency, and reliability across everything we do -

from developing our latest TPUs to running a global network, while driving

towards shaping the future of hyperscale computing. Our global impact spans

software and hardware, including Google Cloud’s Vertex AI, the leading AI

platform for bringing Gemini models to enterprise customers.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $176000 - $257000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

* Lead the design, implementation, and maintenance of robust, scalable, and

secure network architectures within GDC lab environments, spanning multiple

physical locations.

* Drive the deployment, configuration, and management of multi-vendor network

hardware and software, including routers, switches, firewalls, and load

balancers (e.g., Cisco, Juniper, Arista, Palo Alto Networks).

* Own and manage core lab network services, including layer 2/3 networking,

firewalls, network security policies, and out-of-band management

infrastructure. Design and manage external network connectivity solutions,

including gTransit and other internet peering.

* Act as the technical lead for medium to large network projects.

* Diagnose and resolve complex, end-to-end network issues, often requiring

in-depth analysis and cross-team collaboration. Define and uphold network

standards, best practices, and documentation for the lab environments.