Senior Network Engineer, Google Enterprise Network

Application window open until at least September 29, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Preferred working locations: Austin, TX, USA; Thornton, CO, USA.

About the role

Google's Network Engineering team operates a global network that serves millions of Internet users. The team designs, enhances, and maintains network reliability and efficiency at scale. The AI and Infrastructure team empowers customers with AI and infrastructure capabilities, supporting Google Cloud, internal services, and billions of users worldwide.

Responsibilities

• Lead requirement analysis, engineering design, and development of solutions for Google’s Enterprise network infrastructure, including feature qualification, deployment, and optimization.
• Deliver secure and dependable network services by scaling systems sustainably through tools, automation, and reliability‑focused changes.
• Partner across business units to analyze requirements, proactively develop solutions and policies, and lead assigned projects in technical and communication aspects.
• Coach peer engineers through knowledge transfer and cross‑training.
• Participate in a 24 × 7 on‑call rotation for SME Tier 3 support as needed.

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.
• Experience with 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, or PCNSE certifications.
• Experience planning and designing large‑scale networks (multiple sites, multiple products, etc.).
• Familiarity with leveraging AI tools to accelerate network feature development velocity and daily workflow.

Pay

US base salary range: $150,000 – $217,000 (USD) plus a 15 % bonus target, equity, and benefits.