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
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:
Amazon Bedrock (model inference, agent APIs)
SageMaker (model hosting, endpoints)
Comprehend (NL
📌 Cloud Platform Engineer (España)
🏢 Luxoft
📍 España