Senior Network Engineer, Google Enterprise Network at Google | Austin, TX, US | Rezi

Senior Network Engineer, Google Enterprise Network at Google

Senior Network Engineer, Google Enterprise Network

Google · Austin, TX, US

Yesterday

Senior Network Engineer, Google Enterprise Network

Google · Austin, TX, US

a day ago
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About the Role

The Network Engineering team operates Google's global network, ensuring reliable and scalable service for millions of users. This role involves direct impact on design and feature enhancements, network performance monitoring, hardware adjustments, and responding to connectivity issues. The AI and Infrastructure team is redefining possibilities by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity, empowering Google customers with breakthrough capabilities and insights.

Responsibilities

  • Lead requirement analysis, engineering design, and development of solutions for Google’s Enterprise network infrastructure.
  • Execute new feature qualification, deployment, and optimization.
  • Deliver secure and dependable network services by scaling systems sustainably through tools and automation.
  • Drive changes that improve network reliability and velocity.
  • Partner collaboratively across business units to analyze requirements, develop solutions and policies, and lead assigned projects.
  • Coach peer engineers through knowledge transfer and cross-training.
  • Participate in a 24x7 on-call rotation for subject matter expert Tier 3 support.

Requirements

  • 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 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.

Skills

  • network routing protocols
  • network design
  • network troubleshooting
  • C++
  • Go
  • Python
  • VXLAN
  • BGP EVPN
  • MC-LAG
  • encryption
  • key management
  • zone based network segmentation
  • multi-tenant environments
  • enterprise data center network design
  • enterprise data center network operations
  • AI tools for network feature development
  • AI tools for workflow acceleration

Location

  • US

Work Type

  • full-time

Experience Level

  • 6 years of experience

Education Level

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • CCIE/CCDE/PCNSE certifications

Salary/Compensations

  • $150000 - $217000 (USD) + 15% bonus target + equity

Benefits

  • Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

About the Company

  • Google is proud to boast a network that provides service to millions of Internet users around the world.
  • 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.

Equal Opportunity

  • Individual pay is determined by factors including job-related skills, experience, and relevant education or training.