Senior Software Engineer

Cisco

Remote Hybrid

Quick summary

Work type
Remote
Location
Research Triangle Park, NC
Salary
$137,000–$200,500 / yr
Posted
7 days ago
Closes
Sep 10, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $169k
$127k most similar roles pay here $231k

This role pays less than 57% of similar roles. Most pay $144,837–$221,250 — the shaded band above. At the midpoint, this role pays about $169k versus about $183k 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 178 open roles on FindRole.

Listed pay typically runs $165,000–$241,400 across 178 roles with salary data.

Most-posted roles

View all roles at Cisco

At a glance

TL;DR · Senior Software Engineer

As a Senior Software Engineer in the Platform Command Center (PCC) at Cisco’s RTP, NC office, you will design and build AI-enabled tooling to enhance operational efficiency by automating alert triage, improving runbooks, and accelerating incident response. Your day-to-day involves developing ML and LLM-assisted workflows, creating dashboards for service health monitoring, and partnering with SREs and AIOps teams to translate pain points into technical solutions. You will also mentor engineers on automation practices and support a 24x7 operations team through reliable tooling without being shift-based. The role requires experience in software development, building production operational environments, and applying AI/ML concepts. Familiarity with Kubernetes, Linux, CI/CD, and test automation is essential, along with strong communication skills to work across various teams.

What you'll do

  • Design and build AI-enabled tooling to assist PCC analysts in triaging alerts.
  • Develop ML-assisted workflows for improving runbooks and incident response times.
  • Create dashboards and analytics tools to monitor service health and reliability risks.
  • Partner with operational teams to identify high-value automation opportunities and implement them.
  • Lead technical design discussions and mentor engineers on best practices for tooling.

What we're looking for

  • 5+ years of software development experience with strong hands-on skills.
  • Experience building automation, APIs, and tooling for production environments.
  • Understanding of networking fundamentals and cloud/platform operations concepts.
  • Experience applying AI/ML or LLM-based tooling to engineering or operations use cases.
  • Familiarity with Kubernetes, Linux, CI/CD, and test automation.
  • Ability to lead technical design discussions and mentor engineers on automation practices.

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