Cloud Platform Engineer (Agentic Ai) - Luxoft Spain

Luxoft Spain

Gijón

Presencial

EUR 70.000 - 110.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Luxoft Spain busca un Ingeniero de Plataforma Cloud para liderar la infraestructura de AWS y la orquestación de agentes AI en una plataforma Kubernetes nativa. Serás responsable de diseñar, desplegar y operar una solución enterprise que soporte cargas de trabajo de agentes AI en entornos de desarrollo, pruebas y producción.

El rol requiere experiencia sólida en AWS, EKS y herramientas de IaC, con enfoque en CI/CD, seguridad y observabilidad.

Formación

  • 4+ años de experiencia práctica en AWS.
  • Certificaciones AWS: Solucionador Arquitecto (Asociado o Profesional) y preferiblemente DevOps Engineer/Security Specialty.
  • Experiencia con EKS, Terraform e IaC.

Responsabilidades

  • Diseño, implementación y operación de la infraestructura de AWS para la plataforma de orquestación de agentes AI.
  • Administrar entornos multi‑env (Dev, QA, Producción) y pipelines CI/CD (GitHub Actions, ArgoCD).
  • Gestionar alta disponibilidad, controles de seguridad y costo (FinOps).
  • Colaborar con equipos de ML y plataforma para integrar cargas de trabajo de agentes AI.

Conocimientos

AWS
EKS
Terraform
Kubernetes
GitOps
ArgoCD
Helm
Karpenter
CI/CD
Prometheus
Grafana
CloudWatch
Bedrock
SageMaker
Comprehend

Herramientas

AWS EKS
Terraform
GitHub Actions
ArgoCD
Helm
Karpenter
OIDC
Prometheus
Grafana
CloudWatch
Bedrock
SageMaker
Comprehend

Descripción del empleo

Cloud Platform Engineer (Agentic AI) - Luxoft Spain Luxoft Spain•gijón, asturias, es

Descripción del trabajo

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)
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 (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
Nice to have
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
Chaos engineering exposure:
  • AWS Fault Injection Service (FIS)
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
Languages

English: B2

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