Cloud Architect [Remote]

Luxoft Spain; Castro-Urdiales; Híbrido; EUR 70.000 - 120.000; Jornada completa

Descripción de la vacante

Luxoft Spain is seeking a seasoned Cloud Engineer to lead the design, deployment and operation of an AWS-based, Kubernetes-native AI agent orchestration platform. You will manage EKS clusters, Terraform infrastructure, and CI/CD pipelines, while ensuring security, cost efficiency, and scalable workload orchestration across development, QA, and production environments.

The ideal candidate brings 4+ years of AWS hands-on experience, strong Kubernetes expertise, and proficiency in GitOps tooling.

Formación

• 4+ years of hands-on AWS experience
• Proficient in EKS provisioning and operations
• Strong IaC experience with Terraform
• Knowledge of GitOps with ArgoCD/Flux
• Security, cost optimization and platform observability awareness

Responsabilidades

• Design, provision and manage AWS infrastructure using Terraform per AWS Well-Architected Framework
• Operate a Kubernetes-native, enterprise-grade AI agent orchestration platform on AWS
• Build automated deployment pipelines and implement release strategies (Blue/Green, Canary)
• Implement OCI security controls, monitoring and observability (Prometheus, Grafana, CloudWatch)
• Collaborate with platform and ML teams to onboard new workloads and ensure scalability

Conocimientos

Cloud engineering

AWS experience

Kubernetes

Terraform

GitOps

Educación

AWS Solutions Architect Certification (Associate or Professional)

Herramientas

EKS

Terraform

Karpenter

Helm

ArgoCD

GitHub Actions

Checkov

tfsec

Prometheus

Grafana

S3

IAM

Route 53

WAF

Descripción del empleo

Project description 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)

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 (NLP, PII detection)
• Cost Optimization (FinOps)

Implement cost-efficient architecture practices:

• 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:

• Onboard new AI agent workloads
• 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
• Helm chart management
• Kubernetes RBAC and network policies Infrastructure as Code (Terraform)

Advanced Terraform capabilities:

• Modular design
• Remote state management (S3 + DynamoDB)
• Multi-environment configuration
• 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:

• 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 AWS
• EKS OIDC provider integration Observability & Debugging

Familiarity with:

• Prometheus, Grafana
• OpenTelemetry
• AWS X-Ray
• CloudWatch Logs Insights Kubernetes Security

  Strong understanding of:

  • Pod Security Standards
  • Network Policies
  • Admission webhooks
  • Service account least-privilege principles

  Experience 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

    Multi-tenant platform design:

    • Namespace isolation
    • Self-service provisioning

    Programming/debugging skills:

    • Python, Go, or Node.js

    FinOps experience:

    • AWS Cost Explorer
    • Compute Optimizer
    • Tagging governance
    • Savings Plan management