AI Operations Engineering Technical Leader

Cisco

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Milpitas, CA
Employment
Full-time
Posted
88 days ago
Freshness
Confirmed live today
Closes
Nov 27, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $202k
$145k $256k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $164,426–$240,037.

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 · AI Operations Engineering Technical Leader

The AI Operations Engineering Technical Leader joins the AI Software & Platform Group to develop Generative AI solutions for security, networking, and collaboration portfolios. This role involves architecting scalable, secure cloud infrastructure and leading the adoption of DevOps best practices for SaaS platforms. You will build end-to-end CI/CD workflows, manage container orchestration using Kubernetes and Docker, and implement Infrastructure as Code using Terraform, Helm, and GitOps frameworks. Key responsibilities include scaling microservices across geographic regions, optimizing costs, and integrating AI-assisted tooling like AIOps and copilots into incident response and testing. You must possess proficiency in Python, Bash, and Go, alongside experience with AWS, Azure, or GCP. This position solves the technical challenge of delivering reliable, automated, and high-performing AI infrastructure at scale.

What you'll do

  • Implement end-to-end CI/CD workflows for large-scale, distributed environments with zero downtime.
  • Scale microservice-based platforms across multiple geographic regions using Kubernetes and automated scaling.
  • Lead cross-functional DevOps projects from inception to completion while measuring outcomes against KPIs.
  • Automate the infrastructure stack using Infrastructure as Code (IaC) tools like Terraform and Helm.
  • Integrate AI-assisted tooling and AIOps into CI/CD workflows, infrastructure automation, and incident response.
  • Evaluate and adopt emerging DevOps technologies to increase system resilience and developer productivity.
  • Participate in an on-call rotation to ensure system reliability and operational excellence.

What we're looking for

  • Must have a Bachelor's degree plus 8 years of DevOps experience, a Master's plus 5 years, or a PhD plus 3 years.
  • Must have experience in CI/CD pipelines and automation tools.
  • Must have experience working in Kubernetes and Docker.
  • Must have experience in cloud platforms such as AWS, Azure, or GCP.
  • Must have scripting and automation skills in languages like Python, Bash, or Go.
  • Deep expertise in CI/CD tooling and practices including Jenkins, Github, or ArgoCD (preferred).
  • Demonstrated success scaling containerized microservices across regions with cost and performance optimizations (preferred).
  • Proven leadership in cross-functional engineering projects with measurable outcomes (preferred).

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