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Senior role with niche AI-DevOps skills in metro locations yields moderate competition.
DevOps skills are broadly transferable across industries but enterprise-specific tooling increases sensitivity slightly.
Explicit 8+ years and many mandatory tech requirements make shortlisting highly selective.
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Own design, implementation, and optimization of end-to-end CI/CD pipelines using Jenkins, GitHub, and GitOps (ArgoCD).
Manage scalable, secure cloud infrastructure on AWS including Kubernetes (EKS), serverless applications (AWS Lambda), and Infrastructure as Code (Terraform).
Integrate AI-powered capabilities (AWS Bedrock) into DevOps platforms and lead troubleshooting and performance improvements.
8+ years of experience in DevOps, Cloud Engineering, or related roles.
Strong proficiency with Jenkins, GitHub, Terraform, Kubernetes (EKS), ArgoCD, AWS (including Lambda), Groovy and Python scripting.
Experience with AI/ML integrations using AWS Bedrock or similar technologies.
Location: Chennai or Gurgaon; Remote location options mentioned but preferred locations specified.
Experienced senior engineer with hands-on expertise designing and implementing enterprise-scale scalable CI/CD and cloud infrastructure solutions.
Proficient in automated DevOps practices including GitOps and serverless architectures, comfortable working across cross-functional teams in a large enterprise.
Demonstrated ability to integrate emerging AI/ML technologies into infrastructure and automation pipelines for enhanced DevOps capabilities.