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

Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework.

Core services include

Amazon EKS

VPC

IAM

Route 53

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)

Implement release strategies

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

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:

Cost Optimization (FinOps)

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:

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

Kubernetes RBAC and network policies Infrastructure as Code (Terraform)

Advanced Terraform capabilities

Remote state management (S3 + DynamoDB)

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

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

GitHub Actions → AWS

EKS OIDC provider integration Observability & Debugging

Familiarity with

OpenTelemetry

AWS X‐Ray

Strong understanding of

Pod Security Standards

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)

Familiarity with

Amazon Bedrock Agents, Knowledge Bases, Guardrails

Namespace isolation

Programming/debugging skills

Python, Go, or Node.js

AWS Cost Explorer

Languages

GKE

AlloyDB

Hoy 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

Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework.

Core services include

Amazon EKS

VPC

IAM

Route 53

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)

Implement release strategies

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

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:

Cost Optimization (FinOps)

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:

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

Kubernetes RBAC and network policies Infrastructure as Code (Terraform)

Advanced Terraform capabilities

Remote state management (S3 + DynamoDB)

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

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

GitHub Actions → AWS

EKS OIDC provider integration Observability & Debugging

Familiarity with

OpenTelemetry

AWS X‐Ray

Strong understanding of

Pod Security Standards

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)

Familiarity with

Amazon Bedrock Agents, Knowledge Bases, Guardrails

Namespace isolation





Programming/debugging skills

Python, Go, or Node.js

AWS Cost Explorer

Languages

GKE

AlloyDB

Hoy 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

Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework.

Core services include

Amazon EKS

VPC

IAM

Route 53

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)

Implement release strategies

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

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:

Cost Optimization (FinOps)

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:

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

Kubernetes RBAC and network policies Infrastructure as Code (Terraform)

Advanced Terraform capabilities

Remote state management (S3 + DynamoDB)

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

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

GitHub Actions → AWS

EKS OIDC provider integration Observability & Debugging

Familiarity with

OpenTelemetry

AWS X‐Ray

Strong understanding of

Pod Security Standards

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)

Familiarity with

Amazon Bedrock Agents, Knowledge Bases, Guardrails

Namespace isolation

Programming/debugging skills

Python, Go, or Node.js

AWS Cost Explorer

Languages

GKE

AlloyDB

Hoy

GKE

AlloyDB

📌 Cloud Platform Engineer (Agentic Ai) (Valladolid)
🏢 Luxoft Spain
📍 Valladolid