Cisco
Technical Lead, Network Engineering
$166K–$308K
San Jose, California, US · Hybrid · Full-time · Posted Oct 18, 2026
- Experience
- Bachelor's degree + 8 years of related experience, or Master's + 6 years, or PhD + 3 years, or equivalent related work experience.
- Education
- Bachelor's, Master's, or PhD; equivalent related work experience is also accepted.
About the job
Leads customer-facing engineering support for large-scale datacenter and cloud networking, resolving complex issues and improving operational reliability through automation and intelligent tooling.
What you'll do
- Translate customer constraints into scalable, supportable network designs and operational models; lead technical support for high-priority customer issues.
- Partner with engineering teams to troubleshoot cross-layer problems, establish repeatable diagnostics, and drive root-cause resolution.
- Apply telemetry and workflow automation, and build Python tools for operational data analysis, using AI/ML or LLM approaches where appropriate.
What they ask for
- Bachelor's degree plus 8 years, Master's plus 6 years, PhD plus 3 years of related experience, or equivalent related work experience.
- Experience with routing and switching in production environments or advanced lab settings.
- Experience with structured data and operational telemetry, including time-series concepts, anomaly detection, or similar analytical approaches.
- Experience programming in Python or another language to build automation, parsing workflows, and troubleshooting tools, and experience with AI-assisted tools or workflows in engineering.
Nice to have
- Familiarity with OpenConfig, YANG data models, and gNMI.
- Strong Linux experience; familiarity with network operating systems such as SONiC, IOS-XR, or FBOSS.
Pay
$186,900.00 to $267,700.00 USD base salary; $186,900.00 - $307,800.00 USD base salary (New York City Metro Area); $166,300.00 - $274,100.00 USD base salary (Non-Metro New York state & Washington state)
Tools
Cisco IOS-XR, Python, OpenConfig (OC), YANG, gNMI, Linux, SONiC, FBOSS
AI focus
Use AI-assisted tools and GenAI or LLM-based APIs for operational support; apply AI/ML or LLM approaches where appropriate for log analysis, triage, and summarization.
Model-written summary · the original posting is authoritative