AI Operations Engineering Technical Leader Job Milpitas area,California USA,IT/Tech

Dev Ops Engineer

Cisco is looking for a highly experienced and innovative Dev Ops Engineer to join our global Dev Ops team. In this critical role, you will architect and build scalable, secure cloud infrastructure and lead the adoption of best-in-class Dev Ops practices across the organization. You will work closely with cross-functional teams to ensure seamless code delivery, system reliability, and operational excellence for our SaaS platforms.

Key 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.
Lead cross-functional Dev Ops projects from inception to completion defining success criteria, coordinating execution, and measuring outcomes against clear KPIs.
Collaborate with engineering, QA, and product teams to streamline delivery pipelines and promote Dev Ops 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 Git Ops frameworks.
Continuously evaluate and adopt emerging Dev Ops tools and technologies to increase system resilience, reduce operational overhead, and enhance developer productivity.
Participate in on-call rotation.
Serve as a subject matter expert within the Dev Ops organization—promoting a culture of ownership, collaboration, and continuous improvement.
Integrate AI-assisted tooling, copilots, and AIOps into day-to-day Dev Ops, CI/CD workflows, infrastructure automation, testing, and incident response to enhance efficiency and system reliability.

Minimum Qualifications

Bachelors degree in Comp Science, Engineering (or related field /industry) + 8 years of Dev Ops experience, Masters + 5 years of related experience, or PhD + 3 years of related experience.
Experience in CI/CD pipelines and automation tools.
Experience working in Kubernetes, Docker
Experience in cloud platforms (AWS, Azure, GCP).
Experience in scripting and automation skills (e.g., Python, Bash, Go).

Preferred Qualifications:

Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, Github, ArgoCD, or similar.
Demonstrated success scaling containerized microservices across regions with cost and performance optimizations.
Proven leadership in cross-functional engineering projects with measurable outcomes.
Excellent communication, collaboration, and mentoring skills.