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 & GitOps
- Build and maintain automated deployment pipelines using:
- GitHub Actions
- ArgoCD (GitOps)
- Implement release strategies:
- 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:
- Observability & Monitoring
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:
- Cost Optimization (FinOps)
- Spot Instances
- Savings Plans
- Karpenter bin-packing strategies
- Scheduled scale-to-zero for non-production environments
Platform & Engineering Collaboration
- Partner with platform and ML teams to:
- Integrate MCP servers and execution frameworks
- Support extensibilit
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