Technical Leader, Site Reliability Engineer

Cisco

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$214,100–$309,800 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Closes
Nov 23, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $262k
$128k $329k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $147,137–$217,500 — the blue band above. At the midpoint, this role pays about $262k versus about $182k 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.

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At a glance

TL;DR · Technical Leader, Site Reliability Engineer

The Technical Leader, Site Reliability Engineer joins the Platform Engineering organization to manage the foundational cloud-native platforms powering Cisco Network Platform. This role involves leading the design, implementation, and optimization of Kubernetes platform capabilities across public and on-premises environments. You will drive technical initiatives to improve reliability, security, and scalability for hundreds of engineering teams while providing leadership during major incidents and architecture reviews. Key responsibilities include mentoring senior engineers and executing platform roadmaps using Infrastructure-as-Code and GitOps. Required technical skills include expertise in AWS, Azure, GCP, Terraform, and ArgoCD, alongside experience with CNI implementations, service mesh, and SRE practices like SLOs and automated remediation. The work focuses on solving complex distributed systems challenges to support mission-critical workloads at scale.

What you'll do

  • Lead the design, implementation, and optimization of Kubernetes platform capabilities across cloud and on-premises environments.
  • Drive technical initiatives to improve reliability, security, and scalability using Infrastructure-as-Code and GitOps.
  • Partner with engineering, security, and product teams to execute platform roadmaps and reliability goals.
  • Provide technical leadership during major incidents, architecture reviews, and strategic infrastructure investments.
  • Mentor senior engineers through hands-on technical leadership, code reviews, and automated remediation.
  • Implement SRE practices including SLOs, SLIs, incident management, and production readiness reviews.
  • Manage networking architectures for large-scale Kubernetes platforms, including CNI implementations and service meshes.

What we're looking for

  • Must be a U.S. citizen.
  • Bachelor’s degree or equivalent experience.
  • 12+ years of experience designing, building, and operating large-scale distributed systems in production environments.
  • 7+ years of experience operating Kubernetes platforms and cloud-native infrastructure in production.
  • Expertise in cloud-native infrastructure across AWS, Azure, GCP, on-prem, or hybrid clouds.
  • Experience designing, operating, and troubleshooting networking architectures for large-scale Kubernetes platforms, including CNI and service mesh.
  • Experience with Infrastructure-as-Code and GitOps technologies, specifically Terraform and ArgoCD.
  • Experience implementing SRE practices, including SLOs/SLIs, incident management, and automated remediation.
  • Experience with migrating monolithic applications to a microservices architecture (preferred).
  • Knowledge of foundational networking concepts such as switching, routing, Wi-Fi, and IoT (preferred).
  • Advanced knowledge of observability tools and implementing monitoring strategies for distributed systems (preferred).
  • Experience driving toil reduction through advanced automation and self-service developer platforms (preferred).

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