AI Operations Engineer - 8 to 12 yrs
Cisco (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and build scalable, secure cloud infrastructure with focus on container orchestration (Kubernetes) and cost optimization.
- Implement and lead end-to-end CI/CD workflows supporting large-scale, distributed SaaS platforms with zero downtime deployments.
- Lead cross-functional DevOps projects from start to finish, defining success criteria and delivering measurable outcomes.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related field plus 7 years DevOps experience (or Masters with 4 years, or PhD with 2 years).
- Strong proficiency in Kubernetes, Docker, and knowledge of cloud platforms (AWS, Azure, GCP).
- Experience with CI/CD pipelines, automation tools, and scripting languages such as Python, Bash, or Go.
- Hands-on experience with AI developer tools (e.g., AI coding assistants).
Ideal Candidate Profile
- Proven track record in scaling containerized microservices across multiple regions with cost and performance focus.
- Experienced leader in cross-functional engineering projects delivering against clear KPIs.
- Strong expertise in CI/CD tooling such as Jenkins, GitHub, ArgoCD, and advocate for Infrastructure as Code using Terraform, Helm, and GitOps.