Cloud Platform Engineer (Agentic AI)

Luxoft; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Luxoft is hiring a Cloud Engineer in Bengaluru, India. The role involves leading the infrastructure design for an AI orchestration platform on AWS, requiring AWS expertise and Kubernetes management.

Ideal candidates will have 4+ years of experience in AWS, strong Terraform skills, and the ability to manage CI/CD pipelines. The position offers an exciting opportunity to work on innovative technology projects in the pharmaceutical industry.

Qualifications

• 4+ years of hands-on AWS experience.
• Strong experience with EKS cluster provisioning and operations.
• Advanced Terraform capabilities and security scanning.

Responsibilities

• Design and manage AWS infrastructure using Terraform.
• Own and operate EKS clusters end-to-end.
• Build and maintain automated deployment pipelines using GitHub Actions.

Skills

AWS experience

Kubernetes & EKS expertise

Infrastructure as Code (Terraform)

AWS Services proficiency

AI/ML exposure

DevOps & identity

Observability & debugging

Kubernetes security

Education

AWS Certifications: Solutions Architect (Associate or Professional)

Tools

Terraform

GitHub Actions

ArgoCD

Amazon Managed Grafana

Amazon Managed Prometheus

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

• 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 and 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, 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, SageMaker, Comprehend
  
  
  
  


• 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: AWS Solutions Architect (Associate or Professional) required; DevOps Engineer, Security Specialty preferred
  
  
  
  


• 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, SageMaker, Comprehend
  
  
  
  


• 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
  
  
  
  

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