Technical Lead, Network Engineering

Cisco

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$186,900–$267,700 / yr
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $227k
$111k $285k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $132,166–$208,300 — the blue band above. At the midpoint, this role pays about $227k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 307 open roles on FindRole.

Listed pay typically runs $167,700–$245,000 across 224 roles with salary data.

Most-posted roles

View all roles at Cisco

At a glance

TL;DR · Technical Lead, Network Engineering

The Technical Lead, Network Engineering joins a team building and supporting networking products leveraging Cisco IOS-XR and open-source technologies at the intersection of systems and silicon. This role serves as a technical focal point for customer solutions, translating real-world constraints into scalable designs and operational models for hyper-scale data centers and cloud infrastructure. You will troubleshoot complex issues across networking stacks, drive root cause analysis using data-backed narratives, and develop Python-based tools to parse and visualize operational telemetry. Key technologies include gNMI, YANG data models, OpenConfig, and Linux. You will also utilize AI-assisted workflows and LLM-based APIs for log analysis and triage. The work involves managing high-priority customer issues while applying hyper-scale best practices like telemetry and workflow automation to improve product behavior in production environments.

What you'll do

  • Translate customer constraints into scalable, supportable designs and operational models.
  • Troubleshoot and resolve complex issues across datacenter and cloud networking stacks.
  • Perform root cause analysis on high-priority customer issues using data-backed narratives.
  • Apply telemetry, alerting, and workflow automation to improve mean time to detect and resolve issues.
  • Develop and maintain Python-based tools to parse, correlate, and visualize operational data.
  • Leverage AI/ML and LLM-based approaches for log analysis, triage, and summarization.

What we're looking for

  • Bachelor's degree plus 8 years of related experience, Masters plus 6 years, or PhD plus 3 years of related experience.
  • Experience with routing and switching technologies in production environments or advanced lab settings.
  • Experience working with structured data and operational telemetry, including time-series concepts or anomaly detection.
  • Experience with Python or another programming language to build automation, parsing workflows, and troubleshooting tools.
  • Experience with AI-assisted tools or workflows in engineering environments, including GenAI or LLM-based APIs.
  • Strong Linux experience supporting lab, tooling, or production-adjacent environments (preferred).
  • Background in system architecture, deployment engineering, or field engineering within Tier-1 enterprise or hyperscale environments (preferred).
  • Familiarity with OpenConfig, YANG data models, gNMI, SONiC, IOS-XR, or FBOSS (preferred).

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