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 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 extensibility of the agent ecosystem Skills Must have ~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 &

• Identity Experience with: GitOps tools (ArgoCD or Flux) CI/CD pipelines for container workloads GitHub Actions → AWS EKS OIDC provider integration Observability &

• Debugging Familiarity with: OpenTelemetry AWS X‐Ray Strong understanding of: Pod Security Standards Admission webhooks Service account least‐privilege principles Nice to have Experience with AI agent frameworks: LangChain, Claude Agent SDK, or similar Knowledge of emerging protocols: A2A (Agent‐to‐Agent) Familiarity with: Amazon Bedrock Agents, Knowledge Bases, Guardrails Namespace isolation Programming/debugging skills: Python, Go, or Node.js ~ AWS Cost Explorer Languages GKE AlloyDB Hoy 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 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 extensibility of the agent ecosystem Skills Must have ~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 &

• Identity Experience with: GitOps tools (ArgoCD or Flux) CI/CD pipelines for container workloads GitHub Actions → AWS EKS OIDC provider integration Observability &

• Debugging Familiarity with: OpenTelemetry AWS X‐Ray Strong understanding of: Pod Security Standards Admission webhooks Service account least‐privilege principles Nice to have Experience with AI agent frameworks: LangChain, Claude Agent SDK, or similar Knowledge of emerging protocols: A2A (Agent‐to‐Agent) Familiarity with: Amazon Bedrock Agents, Knowledge Bases,



Guardrails Namespace isolation Programming/debugging skills: Python, Go, or Node.js ~ AWS Cost Explorer Languages GKE AlloyDB Hoy 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 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 extensibility of the agent ecosystem Skills Must have ~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 &

• Identity Experience with: GitOps tools (ArgoCD or Flux) CI/CD pipelines for container workloads GitHub Actions → AWS EKS OIDC provider integration Observability &

• Debugging Familiarity with: OpenTelemetry AWS X‐Ray Strong understanding of: Pod Security Standards Admission webhooks Service account least‐privilege principles Nice to have Experience with AI agent frameworks: LangChain, Claude Agent SDK, or similar Knowledge of emerging protocols: A2A (Agent‐to‐Agent) Familiarity with: Amazon Bedrock Agents, Knowledge Bases, Guardrails Namespace isolation Programming/debugging skills: Python, Go, or Node.js ~ AWS Cost Explorer Languages GKE AlloyDB Hoy GKE AlloyDB

📌 Cloud Engineer Aws (Terraform) (Valladolid)
🏢 Luxoft Spain
📍 Valladolid