Cloud Platform Engineer (Agentic Ai)

Luxoft Spain; País Vasco; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Luxoft Spain busca un Cloud Engineer senior para liderar la infraestructura de orquestación de IA en AWS y Kubernetes. Desarrollará, provisionará y operará un platform empresarial escalable para cargas de trabajo de IA en entornos de desarrollo, QA y producción.

Se requieren al menos 4 años de experiencia en AWS, certificación AWS Solutions Architect y habilidades en EKS, Terraform, GitOps y seguridad nativa de AWS. Se valorará experiencia en Bedrock, SageMaker y herramientas de observabilidad.

Formación

• 4+ años de experiencia práctica en AWS.
• Certificación AWS Solutions Architect requerida; DevOps Engineer o Security Specialty preferidos.
• Experiencia en Kubernetes & EKS; aprovisionamiento y operaciones de EKS.
• Experiencia con Terraform, Helm, RBAC y políticas de red.
• CI/CD para cargas de contenedor; GitHub Actions; ArgoCD/Flux.
• Conocimientos de Bedrock, SageMaker y Comprehend.

Responsabilidades

• Diseñar, provisionar y gestionar infraestructuras en AWS conforme al AWS Well-Architected Framework.
• Desarrollar y mantener la plataforma de orquestación de IA en Kubernetes nativo.
• Integrar pipelines CI/CD y prácticas GitOps (ArgoCD/Flux).
• Asegurar gobernanza, seguridad y cumplimiento: WAF, GuardDuty, Security Hub, KMS y Secrets Manager.
• Operar multi-ambiente (Dev → QA → Production) y estrategias deRelease (Blue/Green, Canary).
• Cost optimization (Spot, Savings Plans, Karpenter, scale-to-zero).

Conocimientos

AWS

EKS

Terraform

GitOps

ArgoCD

Security best practices

Kubernetes RBAC

CI/CD pipelines

OIDC

Python/Go/Node.js

Herramientas

ArgoCD

GitHub Actions

Terraform

Helm

Prometheus

Grafana

X-Ray

Descripción del empleo

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