Project descriptionAunque la experiencia profesional y las cualificaciones son principal para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.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.

ResponsibilitiesAWS Infrastructure & Architecture.Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework.

Core services include:Amazon EKSVPCIAMApplication Load Balancer (ALB)Route 53AWS Certificate Manager (ACM)Kubernetes (EKS) Platform OperationsOwn and operate EKS clusters end-to-end

Managed node group lifecycle management:Karpenter-based autoscalingCluster add-on lifecycle upgradesIRSA (IAM Roles for Service Accounts) configurationMulti-AZ high availability and resilienceCI/CD & GitOps

Build and maintain automated deployment pipelines using:GitHub ActionsArgoCD (GitOps)

Enable multi-environment deployments:Dev → QA → Production

Implement release strategies:Blue/Green deploymentsCanary releasesSecurity & Compliance





Integrate AWS-native security and governance controls:AWS WAFGuardDutySecurity HubKMS (encryption)Secrets ManagerExternal Secrets Operator

Enforce policy controls using:OPA / Kyverno (admission controllers)Observability & Monitoring

Implement and manage observability stack:Amazon Managed PrometheusAmazon Managed GrafanaCloudWatch Container InsightsAWS 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 (NLP, PII detection)Cost Optimization (FinOps)

Implement cost-efficient architecture practices:Spot InstancesSavings PlansKarpenter bin-packing strategiesScheduled scale-to-zero for non-production environmentsPlatform & Engineering Collaboration

Partner with platform and ML teams to:Onboard new AI agent workloadsIntegrate MCP servers and execution frameworksSupport extensibility of the agent ecosystem

SkillsMust have4+ 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 operationsManaged node groups and KarpenterHelm chart managementKubernetes RBAC and network policies Infrastructure as Code (Terraform)

Advanced Terraform capabilities:Modular designRemote state management (S3 + DynamoDB)Multi-environment configurationSecurity scanning (Checkov, tfsec) AWS Services Proficiency

Deep knowledge of:EKS, ECR, ALB, Route 53, ACMIAM, KMS, Secrets ManagerIAM Identity CenterCloudTrail, AWS ConfigGuardDuty, Security Hub, AWS WAF AI/ML Exposure

Practical experience with:Amazon Bedrock (model invocation, agent APIs)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

OIDC federation:GitHub Actions → AWSEKS OIDC provider integration Observability & Debugging

Familiarity with:Prometheus, GrafanaOpenTelemetryAWS X-RayCloudWatch Logs Insights Kubernetes Security

Strong understanding of:Pod Security StandardsNetwork PoliciesAdmission webhooksService account least-privilege principles

Nice to haveExperience with AI agent frameworks:LangChain, Claude Agent SDK, or similar

Knowledge of emerging protocols:A2A (Agent-to-Agent)MCP (Model Context Protocol)

Familiarity with:Amazon Bedrock Agents, Knowledge Bases, Guardrails

Chaos engineering exposure:AWS Fault Injection Service (FIS)

Multi-tenant platform design:Namespace isolationSelf-service provisioning

Programming/debugging skills:Python, Go, or Node. xqziphu js

FinOps experience:AWS Cost ExplorerCompute OptimizerTagging governanceSavings Plan management

LanguagesEnglish: B2

Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

📌 CLOUD ARCHITECT [Remote] (Arbo)
🏢 Luxoft Spain
📍 Arbo