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AI Job Summary

Lead requirement analysis, design, and deployment of enterprise network infrastructure solutions, including new feature qualification and system optimization. Requires a bachelor's degree in Computer Science, Engineering, or equivalent experience, plus six years working with routing protocols, network equipment, and data center design. Must have programming experience in C++, Go, or Python and expertise in VXLAN, BGP EVPN, MC-LAG, encryption, and multi-tenant environments. Includes 24x7 on-call support rotation and mentoring responsibilities.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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 collaboratively 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 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 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.
  • 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.
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  • Role Senior Network Engineer, Google Enterprise Network
  • Experience 5-7 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 211K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 24 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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