Cloud Platform Engineer (Agentic Ai)

Luxoft Spain; Zamora; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Luxoft Spain is seeking a Cloud Platform Engineer to lead the infrastructure design, deployment, and operations of an AI agent orchestration platform on AWS. You will build a Kubernetes-native, enterprise-grade platform supporting scalable AI workloads across Dev, QA, and Production.

Responsibilities include managing EKS clusters, implementing CI/CD pipelines with GitHub Actions and ArgoCD, and applying security, observability, and cost-optimization best practices in a multi-AZ setup.

Formación

• 4+ years of hands-on AWS experience.
• AWS Solutions Architect certification (Associate or Professional) required.
• Kubernetes & EKS expertise with hands-on cluster ops.
• Terraform IaC experience with modular design.
• CI/CD pipelines and GitOps tooling (ArgoCD or Flux).

Responsabilidades

• Design, provision, and manage AWS infrastructure using Terraform.
• Own and operate EKS clusters end-to-end with auto scaling.
• Implement release strategies and multi-environment deployments.
• Integrate security controls and governance using AWS services.

Conocimientos

AWS

Kubernetes

Terraform

CI/CD

GitOps

EKS

Helm

RBAC

Security

Python

Herramientas

ArgoCD

GitHub Actions

Helm

Prometheus

Grafana

CloudWatch

OpenTelemetry

X-Ray

S3

DynamoDB

Descripción del empleo

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.

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

• 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, 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 workloadsOIDC federation:GitHub Actions AWSEKS OIDC provider integration
• Observability & DebuggingFamiliarity with:Prometheus, GrafanaOpenTelemetryAWS X-RayCloudWatch Logs Insights Kubernetes Security
• Strong understanding of:Pod Security StandardsNetwork PoliciesAdmission webhooksService account least-privilege principles
• LanguagesEnglish: B2

Must 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 ExplorerCompute OptimizerTagging governanceSavings Plan management
• LanguagesEnglish: B2

Cloud Platform Engineer (Agentic Ai) Zamora, Kingdom Of Spain, ES