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Mid-level popular cloud role in Bangalore with broad cloud/Kubernetes and AI skills increases competition.
Core cloud and Kubernetes skills are transferable, but AI agent and Bedrock specifics increase domain bias.
Mandatory AWS certification plus specific EKS/Terraform/GitOps and security requirements create strict technical filters.
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Lead design, deployment, and operations of a Kubernetes-native AI agent orchestration platform on AWS.
Manage end-to-end EKS clusters, supporting multi-environment (Dev, QA, Prod) scalable AI workloads with CI/CD pipelines.
Implement AWS-native security, observability, and cost optimization practices aligned with AWS Well-Architected Framework.
4+ years of hands-on experience with AWS, including EKS, IAM, ALB, Route53, and Terraform.
AWS Solutions Architect Certification (Associate or Professional) required; DevOps Engineer and Security Specialty preferred.
Strong expertise in Kubernetes (EKS) operations, Terraform (modular, remote state), GitOps tools (ArgoCD or equivalent), and AWS security/compliance tooling.
Location: Bengaluru, India. English proficiency: B2 Upper Intermediate.
Experienced in managing large-scale AWS EKS platforms supporting AI/ML workloads with multi-environment CI/CD and GitOps workflows.
Skilled in integrating AWS AI/ML services such as Amazon Bedrock, SageMaker, and Comprehend into platform orchestration.
Familiar with Kubernetes security standards, AWS cost optimization (FinOps), and supporting enterprise-grade production platforms.