Network Engineer, GEN Network Engineering
Google· enterprise· Internet & Cloud Services· Oct 20, 2026 · 7d ago
Austin, TX, USA
In office
Full-time
Mid
$100K–$158K est.
3+ years exp
Job description
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.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 behind Google's groundbreaking innovations, empowering the development of 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 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Lead the requirement analysis, engineering design, and development of solutions for Google’s Enterprise network infrastructure, executing new feature qualification, deployment, and optimization.
• Deliver secure and dependable network services by scaling systems sustainably through tools and automation, and driving changes that improve reliability and velocity.
• Partner across business units to analyze requirements, proactively develop solutions and policies, and lead assigned projects in all technical and communication aspects.
• Coach peer engineers through effective knowledge transfer and cross-training, and participate in a 24x7 on-call rotation for Subject Matter Expert (SME) Tier 3 support as needed.
• 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.
• Experience in networking technologies/protocols: VXLAN, BGP EVPN, MC-LAG, Encryption, key management, zone based network segmentation, multi-tenant environments.
• Experience with enterprise data center network design and operations in a global environment.
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.
• Experience in networking technologies/protocols: VXLAN, BGP EVPN, MC-LAG, Encryption, key management, zone based network segmentation, multi-tenant environments.
• Experience with enterprise data center network design and operations in a global environment.
Preferred qualifications:
• CCIE/CCDE/PCNSE certifications.
• Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).
• Familiarity with leveraging AI tools to enable network feature development velocity and accelerate daily workflow.
Application prep
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