Aws Cloud Architect

Project descriptionThe 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.AWS Infrastructure & ArchitectureDesign, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected FrameworkAmazon EKSIAMRoute 53AWS Certificate Manager (ACM)Kubernetes (EKS) Platform OperationsOwn and operate EKS clusters end-to-end:IRSA (IAM Roles for Service Accounts) configurationBuild and maintain automated deployment pipelines using:GitHub ActionsEnable multi-environment deployments:Blue/Green deploymentsIntegrate AWS-native security and governance controls:AWS WAFEnforce policy controls using:Observability & MonitoringAmazon Managed PrometheusAmazon Managed GrafanaCloudWatch Container InsightsAWS X-Ray (distributed tracing)Leverage AWS AI/ML services to support agent orchestration:Karpenter bin-packing strategiesIntegrate MCP servers and execution frameworks4+ years of hands-on AWS experienceAWS Certifications:Required: AWS Solutions Architect (Associate or Professional)DevOps Engineer, Security Specialty Kubernetes & EKS ExpertiseEKS cluster provisioning and operationsKubernetes RBAC and network policies Infrastructure as Code (Terraform)Advanced Terraform capabilities: xbhjioeRemote state management (S3 + DynamoDB)Multi-environment configurationSecurity scanning (Checkov, tfsec) AWS Services ProficiencyEKS, ECR, ALB, Route 53, ACMIAM, KMS, Secrets ManagerIAM Identity CenterCloudTrail, AWS ConfigGuardDuty, Security Hub, AWS WAF AI/ML ExposureSageMaker (model deployment and endpoints)Comprehend (NLP and PII detection) DevOps & IdentityGitHub Actions ? AWSEKS OIDC provider integration Observability & DebuggingPrometheus, GrafanaAWS X-RayCloudWatch Logs Insights Kubernetes SecurityNetwork PoliciesEnglish

frameworks4+ years of hands-on AWS experienceAWS Certifications:Required: AWS Solutions Architect (Associate or Professional)DevOps Engineer, Security Specialty Kubernetes & EKS ExpertiseEKS cluster provisioning and operationsKubernetes RBAC and network policies Infrastructure as Code (Terraform)Advanced Terraform capabilities: xbhjioeRemote state management (S3 + DynamoDB)Multi-environment configurationSecurity scanning (Checkov, tfsec) AWS Services ProficiencyEKS, ECR, ALB, Route 53, ACMIAM, KMS, Secrets ManagerIAM Identity CenterCloudTrail, AWS ConfigGuardDuty, Security Hub, AWS WAF AI/ML ExposureSageMaker (model deployment and endpoints)Comprehend (NLP and PII detection) DevOps & IdentityGitHub Actions ? AWSEKS OIDC provider integration Observability & DebuggingPrometheus, GrafanaAWS X-RayCloudWatch Logs Insights Kubernetes SecurityNetwork PoliciesEnglish

Project descriptionThe 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.