Project description The project is for one of the worlds famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. We are seeking a highly skilled Cloud Engineer to lead the infrastructure design, deployment, and operations of the AI agent orchestration platform on AWS. This role is responsible for building and managing a Kubernetes-native, enterprise-grade platform that supports scalable AI agent workloads across development, QA, and production environments.
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Responsibilities
AWS Infrastructure & Architecture Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework Core services include: Amazon EKS VPC IAM Application Load Balancer (ALB) Route 53 AWS Certificate Manager (ACM) Kubernetes (EKS) Platform Operations Own and operate EKS clusters end-to-end:
Managed node group lifecycle management Karpenter-based autoscaling Cluster add-on lifecycle upgrades IRSA (IAM Roles for Service Accounts) configuration Multi-AZ high availability and resilience CI/CD & GitOps Build and maintain automated deployment pipelines using: GitHub Actions ArgoCD (GitOps) Enable multi-environment deployments: Dev → QA → Production Implement release strategies: Blue/Green deployments Canary releases Security & Compliance Integrate AWS-native security and governance controls: AWS WAF GuardDuty Security Hub KMS (encryption) Secrets Manager External Secrets Operator Enforce policy controls using: OPA / Kyverno (admission controllers) Observability & Monitoring Implement and manage observability stack: Amazon Managed Prometheus Amazon Managed Grafana CloudWatch Container Insights AWS X-Ray (distributed tracing) AI/ML Integration Leverage AWS AI/ML services to support agent orchestration: Amazo