Project description

Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.

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 & Git Ops

Build and maintain automated deployment pipelines using: Git Hub Actions

ArgoCD (Git Ops)
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

Guard Duty
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
Cloud Watch 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)

Sage Maker (model hosting, endpoints)
Comprehend (NLP, PII detection)

Cost Optimization (Fin Ops)

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

Experience & Certifications
4+ years of hands-on AWS experience
AWS Certifications:
Required: AWS Solutions Architect (Associate or Professional)
Preferred: Dev Ops 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: xiflcak

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
Cloud Trail, AWS Config

Guard Duty, Security Hub, AWS WAF AI/ML Exposure

Practical experience with: Amazon Bedrock (model invocation, agent APIs)

Sage Maker (model deployment and endpoints)

Comprehend (NLP and PII detection) Dev Ops & Identity

Experience with: Git Ops tools (ArgoCD or Flux)

CI/CD pipelines for container workloads

OIDC federation: Git Hub Actions → AWS

EKS OIDC provider integration Observability & Debugging

Familiarity with: Prometheus, Grafana

Open Telemetry
AWS X-Ray

Cloud Watch Logs Insights Kubernetes Security

Strong understanding of: Pod Security Standards

Network Policies
Admission webhooks

Service account least-privilege principles

Languages

English: B2

📌 Cloud Platform Engineer (Agentic AI) (Lugo)
🏢 Luxoft Spain
📍 Lugo