Cloud Platform Engineer (Agentic AI)

About the Position

We are seeking a highly skilled Cloud Platform Engineer (Agentic AI) to join our team. This role is responsible for leading the infrastructure design, deployment, and operations of the AI agent orchestration platform on AWS. You will build and manage 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.

• Kubernetes (EKS) Platform Operations

  • Own and operate EKS clusters end-to-end, including managed node group lifecycle management, Karpenter-based autoscaling, and cluster add-on lifecycle upgrades.

• CI/CD & GitOps

  • Build and maintain automated deployment pipelines using GitHub Actions and ArgoCD (GitOps). Enable multi-environment deployments and implement release strategies such as Blue/Green deployments and Canary releases.

• Security & Compliance

  • Integrate AWS-native security and governance controls, including AWS WAF, GuardDuty, Security Hub, KMS (encryption), and Secrets Manager. Enforce policy controls using OPA / Kyverno (admission controllers).

• Observability & Monitoring

  • Implement and manage observability stack, including Amazon Managed Prometheus, Amazon Managed Grafana, CloudWatch Container Insights, and AWS X-Ray (distributed tracing).

• AI/ML Integration

  • Leverage AWS AI/ML services to support agent orchestration, including Amazon Bedrock (model inference, agent APIs), SageMaker (model hosting, endpoints), and Comprehend (NLP, PII detection).

• Cost Optimization (FinOps)

  • Implement cost-efficient architecture practices, including Spot Instances, Savings Plans, Karpenter bin-packing strategies, and 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, and support the extensibility of the agent ecosystem.

Requirements

• 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, Karpenter, Helm chart management, Kubernetes RBAC, and network policies.

• Infrastructure as Code (Terraform)

  • Advanced Terraform capabilities, including modular design, remote state management (S3 + DynamoDB), multi-environment configuration, and 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, and AWS WAF.

• AI/ML Exposure

  • Practical experience with Amazon Bedrock (model invocation, agent APIs), SageMaker (model deployment and endpoints), and Comprehend (NLP, PII detection).

• DevOps & Identity

  • Experience with GitOps tools (ArgoCD or Flux), CI/CD pipelines for container workloads, OIDC federation (GitHub Actions → AWS), and EKS OIDC provider integration.

• Observability & Debugging

  • Familiarity with Prometheus, Grafana, OpenTelemetry, AWS X-Ray, and CloudWatch Logs Insights.

• Kubernetes Security

  • Strong understanding of Pod Security Standards, Network Policies, Admission webhooks, and 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.

We Offer

• Remote Work: Opportunity to work from anywhere in Spain.
• Competitive Salary: Attractive compensation package.
• Professional Growth: Opportunities for career advancement and skill development.

About the Company

Luxoft is a global IT services company that specializes in software development, digital transformation, and cloud services. We are committed to delivering innovative solutions to our clients and fostering a collaborative and inclusive work environment.

Apply Now

If you are passionate about cloud infrastructure, AI/ML, and Kubernetes, and you are looking for an exciting opportunity to make a significant impact, we encourage you to apply for this position.