Network Engineer, Google Distributed Cloud Labs

Network Engineer, Google Distributed Cloud Labs

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corporate_fareGoogleplaceSunnyvale, CA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

• Bachelors 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. Googles 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 - $256000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.