The project is for one of the world's 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.
Responsibilities Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework Core services include: Amazon EKS VPC IAM Route 53 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 &
• Engineering Collaboration Partner with platform and ML teams to: Integrate MCP servers and execution frameworks Support extensibility of the agent ecosystem Skills Experience &
Certifications ~4+ years of hands-on AWS experience ~ AWS Certifications: ~ Required: AWS Solutions Architect (Associate or Professional) ~ Preferred: DevOps Engineer, Security Specialty Kubernetes &
• EKS Expertise ~ Strong hands‐on experience with: ~ EKS cluster provisioning and operations ~ Managed node groups and Karpenter ~ Kubernetes RBAC and network policies Infrastructure as Code (Terraform) ~ Advanced Terraform capabilities: ~ Remote state management (S3 + DynamoDB) ~ Security scanning (Checkov, tfsec) AWS Services Proficiency ~ Deep knowledge of: ~ EKS, ECR, ALB, Route 53, ACM ~ IAM, KMS, Secrets Manager ~ IAM Identity Center ~ CloudTrail, AWS Config ~ GuardDuty, Security Hub, AWS WAF AI/ML Exposure ~ Practical experience with: ~ SageMaker (model deployment and endpoints) ~ Comprehend (NLP and PII detection) DevOps &