AI Operations Engineer - 8 to 12 yrs

Overview

Cisco is seeking a highly experienced DevOps Engineer for its global DevOps team to architect and build scalable, secure cloud infrastructure and lead DevOps practices across the organization for its SaaS platforms.

What you'll do

• Implement end-to-end CI/CD workflows in a large-scale, distributed environment, enabling 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 DevOps 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 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.
• Integrate AI-assisted tooling, copilots, and AIOps into day-to-day DevOps, CI/CD workflows, infrastructure automation, testing, and incident response.
• Participate in on-call rotation.
• Serve as a subject matter expert within the DevOps organization, promoting a culture of ownership, collaboration, and continuous improvement.

What you'll need

• Bachelor's degree in Computer Science, Engineering (or related field/industry) + 7 years of DevOps experience, OR Master's + 4 years of related experience, OR PhD + 2 years of related experience.
• Strong understanding of CI/CD pipelines and automation tools.
• Strong proficiency in Kubernetes and Docker.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Solid scripting and automation skills (e.g., Python, Bash, Go).
• Hands-on experience using AI developer tools (e.g., AI coding assistants).

Nice to have

• 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.
• Experience building applications or services.
• Excellent communication, collaboration, and mentoring skills.

Details

• Location: Bangalore, India.