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# Cloud Engineer / Architect (English)

- **Company:** Luxoft Spain
- **Location:** Cantabria, Spain
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Computer Networks, Information Engineering, Software Debugging, DevOps, Amazon DynamoDB, Github, Monitoring of Systems, Identity and Access Management, OpenID, Role-Based Access Control, Prometheus, Azure Machine Learning, Load Balancing, System Availability, Kubernetes, Deployment Automation, Machine Learning Operations, Route53, Virtual Agents, Terraform, Dynatrace
- **Published:** September 28, 2026
- **Apply:** https://www.buscojobs.com.es/cloud-engineer-architect-english-en-luena-ID-373525773

## About the Role

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) 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

## Description

Project descriptionThe 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) 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