AI Operations Engineer

CiscoSan Jose, CA
4d

About The Position

The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco's existing Products and how customers interact with them. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly. Ultimately, we are doing so through internal platforms that unlock the benefits of this technology for Cisco teams and partners across our Security, Enterprise Networking, Collaboration and Splunk portfolios. Your Impact Cisco is looking for an experienced and innovative DevOps Engineer to join our global DevOps team. In this critical role, you will architect and build scalable, secure cloud infrastructure and lead the adoption of best-in-class DevOps practices across the organization. You will work closely with multi-functional teams to ensure seamless code delivery, system reliability, and operational excellence for our SaaS platforms.

Requirements

  • Bachelors degree in Comp Science, Engineering (or related field /industry) + 5 years of DevOps experience, Masters + 3 years of related experience, or PhD with related experience
  • Strong understanding of CI/CD pipelines and automation tools.
  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Solid scripting and automation skills (e.g., Python, Bash, Go).

Nice To Haves

  • Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, GitLab, ArgoCD, or similar.
  • Strong proficiency in Kubernetes, Docker, and cloud-native patterns in AWS, Azure, or GCP.
  • Demonstrated success scaling containerized microservices across regions with cost and performance optimizations.
  • Excellent communication, collaboration, and mentoring skills.

Responsibilities

  • Implement end-to-end CI/CD workflows in a large-scale, distributed environment—enabling both on-demand and scheduled builds and deployments with zero downtime.
  • Scale microservice-based platforms across multiple geographic regions, with a focus on container orchestration (Kubernetes), cost optimization, and automated scaling solutions.
  • Collaborate with engineering, QA, and product teams to streamline delivery pipelines and promote DevOps best practices throughout the development lifecycle.
  • Advocate automation in every layer of the infrastructure stack using Infrastructure as Code (IaC) principles and tools such as Terraform, Helm, and GitOps frameworks.
  • Continuously evaluate and adopt emerging DevOps tools and technologies to increase system resilience, reduce operational overhead, and enhance developer productivity.
  • Participate in on-call rotation.
  • Serve as a domain expert within the DevOps organization—promoting a culture of ownership, collaboration, and continuous improvement.
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