Cloud Platform Engineer (Agentic AI)

Luxoft; United States; Remote; EUR 60,000 - 90,000; Full time

Job summary

Luxoft in Spain is seeking a highly skilled Cloud 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 that supports scalable AI workloads across development, QA, and production environments.

The role emphasizes Terraform, EKS, GitOps with ArgoCD, CI/CD pipelines, security controls, observability with Prometheus and Grafana, and cost-aware FinOps practices.

Qualifications

• 4+ years of hands-on AWS experience.
• Proficient in Kubernetes/EKS operations and Terraform.
• Experience with GitOps workflows and CI/CD pipelines.
• AWS certifications preferred.

Responsibilities

• Design, provision, and manage AWS infrastructure with Terraform.
• Operate and optimize EKS clusters and Kubernetes workloads.
• Implement CI/CD pipelines with GitHub Actions and ArgoCD.
• Ensure security controls and compliance with AWS services.
• Configure observability with Prometheus and Grafana.

Skills

AWS

Kubernetes

EKS

Terraform

GitOps

ArgoCD

CI/CD

Security

Observability

Cost optimization

Tools

Helm

Prometheus

Grafana

Karpenter

OIDC

Job description

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

• 1. 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)2. 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

• 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 policiesInfrastructure 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 integrationObservability & Debugging
• Familiarity with:- Prometheus, Grafana- OpenTelemetry- AWS X-Ray- CloudWatch Logs InsightsKubernetes 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