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

Experience & Certifications

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

Languages

English: B2

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