AWS Cloud Engineer

Scope Design, build, and operate a scalable, Kubernetes-based AWS cloud platform for AI workloads, ensuring secure, automated, and highly available infrastructure across development, QA, and production environments. Tasks Design and manage AWS infrastructure using Terraform, EKS, and Kubernetes. Build and maintain CI/CD and GitOps pipelines (GitHub Actions, ArgoCD). Implement security, monitoring, and cost optimization across the AWS platform. Integrate AWS AI/ML services and support AI agent platform deployments. Collaborate with platform and ML teams to onboard and operate AI workloads. Skills Strong hands-on experience with AWS (EKS, IAM, VPC, ALB, Route 53, Terraform) and Kubernetes administration. Expertise in Infrastructure as Code, GitOps, CI/CD, and cloud security best practices. Experience with observability tools (Prometheus, Grafana, CloudWatch) and AWS AI services (Bedrock, SageMaker). Knowledge of FinOps, Kubernetes security, and multi-environment cloud architectures. AWS Solutions Architect certification (Associate or Professional) and fluent English. Details Start: ASAP End: 31.12.2026 (+extension) Capacity: 100% : 5 days per week Location: Bangalore, India (1-2 days Remote per week can be an option) Language: English (fluent)