Cloud Platform Engineer (Agentic Ai)

Project descriptionLa siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.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.ResponsibilitiesAWS Infrastructure & Architecture.Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework.Core services include:Amazon EKSVPCIAMApplication Load Balancer (ALB)Route 53AWS Certificate Manager (ACM)Kubernetes (EKS) Platform OperationsOwn and operate EKS clusters end-to-endManaged node group lifecycle management:Karpenter-based autoscalingCluster add-on lifecycle upgradesIRSA (IAM Roles for Service Accounts) configurationMulti-AZ high availability and resilienceCI/CD & GitOpsBuild and maintain automated deployment pipelines using:GitHub ActionsArgoCD (GitOps)Enable multi-environment deployments:Dev ? QA ? ProductionImplement release strategies:Blue/Green deploymentsCanary releasesSecurity & ComplianceIntegrate AWS-native security and governance controls:AWS WAFGuardDutySecurity HubKMS (encryption)Secrets ManagerExternal Secrets OperatorEnforce policy controls using:OPA / Kyverno (admission controllers)Observability & MonitoringImplement and manage observability stack:Amazon Managed PrometheusAmazon Managed GrafanaCloudWatch Container InsightsAWS X-Ray (distributed tracing)AI/ML IntegrationLeverage 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 InstancesSavings PlansKarpenter bin-packing strategiesScheduled scale-to-zero for non-production environmentsPlatform & Engineering CollaborationPartner with platform and ML teams to:Onboard new AI agent workloadsIntegrate MCP servers and execution frameworksSupport extensibility of the agent ecosystemSkillsMust have4+ years of hands-on AWS experienceAWS Certifications:Required: AWS Solutions Architect (Associate or Professional)Preferred: DevOps Engineer, Security Specialty Kubernetes & EKS ExpertiseStrong hands-on experience with:EKS cluster provisioning and operationsManaged node groups and KarpenterHelm chart managementKubernetes RBAC and network policies Infrastructure as Code (Terraform)Advanced Terraform capabilities:Modular designRemote state management (S3 + DynamoDB)Multi-environment configurationSecurity scanning (Checkov, tfsec) AWS Services ProficiencyDeep knowledge of:EKS, ECR, ALB, Route 53, ACMIAM, KMS, Secrets ManagerIAM Identity CenterCloudTrail, AWS ConfigGuardDuty, Security Hub, AWS WAF AI/ML ExposurePractical experience with:Amazon Bedrock (model invocation, agent APIs)SageMaker (model deployment and endpoints)Comprehend (NLP xbhjioe and PII detection) DevOps & IdentityExperience with:GitOps tools (ArgoCD or Flux)CI/CD pipelines for container workloadsOIDC federation:GitHub Actions ? AWSEKS OIDC provider integration Observability & DebuggingFamiliarity with:Prometheus, GrafanaOpenTelemetryAWS X-RayCloudWatch Logs Insights Kubernetes SecurityStrong understanding of:Pod Security StandardsNetwork PoliciesAdmission webhooksService account least-privilege principlesNice to haveExperience with AI agent frameworks:LangChain, Claude Agent SDK, or similarKnowledge of emerging protocols:A2A (Agent-to-Agent)MCP (Model Context Protocol)Familiarity with:Amazon Bedrock Agents, Knowledge Bases, GuardrailsChaos engineering exposure:AWS Fault Injection Service (FIS)Multi-tenant platform design:Namespace isolationSelf-service provisioningProgramming/debugging skills:Python, Go, or Node.JsFinOps experience:AWS Cost ExplorerCompute OptimizerTagging governanceSavings Plan managementLanguagesEnglish: B2

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 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 (model invocation, agent APIs) SageMaker (model deployment and endpoints) Comprehend (NLP xbhjioe 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 integration Observability & Debugging Familiarity with: Prometheus, Grafana, 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 Languages English: B2