Cloud Architect [Remote]
hace 17 horas
Castro Urdiales
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. Design, provision, and manage AWS infrastructure using Terraform, aligned with the AWS Well-Architected Framework. • 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, • Karpenter-based autoscaling, • Cluster add-on lifecycle upgrades, • IRSA (IAM Roles for Service Accounts) configuration, • Multi-AZ high availability and resilience, • CI/CD & GitOps, • GitHub Actions, • ArgoCD (GitOps), • Blue/Green deployments, • Canary releases, • Security & Compliance, • AWS WAF, • GuardDuty, • Security Hub, • KMS (encryption), • Secrets Manager, • External Secrets Operator, • OPA / Kyverno (admission controllers), • Observability & Monitoring, • Amazon Managed Prometheus, • Amazon Managed Grafana, • CloudWatch Container Insights, • AWS X-Ray (distributed tracing), • AI/ML Integration, • Amazon Bedrock (model inference, agent APIs), • SageMaker (model hosting, endpoints), • Comprehend (NLP, PII detection), • Cost Optimization (FinOps), • Spot Instances, • Savings Plans, • Karpenter bin-packing strategies, • Scheduled scale-to-zero for non-production environments, • Platform & Engineering Collaboration, • Onboard new AI agent workloads, • Integrate MCP servers and execution frameworks, • Support extensibility of the agent ecosystem, • 4+ years of hands-on AWS experience, • Required: AWS Solutions Architect (Associate or Professional), • Preferred: DevOps Engineer, Security Specialty Kubernetes & EKS Expertise, • EKS cluster provisioning and operations, • Managed node groups and Karpenter, • Helm chart management, • Kubernetes RBAC and network policies Infrastructure as Code (Terraform), • Modular design, • Remote state management (S3 + DynamoDB), • Multi-environment configuration, • Security scanning (Checkov, tfsec) AWS Services Proficiency, • EKS, ECR, ALB, Route 53, ACM, • IAM, KMS, Secrets Manager, • IAM Identity Center, • CloudTrail, AWS Config, • GuardDuty, Security Hub, AWS WAF AI/ML Exposure, • Amazon Bedrock (model invocation, agent APIs), • SageMaker (model deployment and endpoints), • Comprehend (NLP and PII detection) DevOps & Identity, • GitOps tools (ArgoCD or Flux), • CI/CD pipelines for container workloads, • GitHub Actions AWS, • EKS OIDC provider integration Observability & Debugging, • Prometheus, Grafana, • OpenTelemetry, • AWS X-Ray, • CloudWatch Logs Insights Kubernetes Security, • Pod Security Standards, • Network Policies, • Admission webhooks, • Service account least-privilege principles, • LangChain, Claude Agent SDK, or similar, • A2A (Agent-to-Agent), • MCP (Model Context Protocol), • Amazon Bedrock Agents, Knowledge Bases, Guardrails, • Namespace isolation, • Self-service provisioning, • Python, Go, or Node.js, • AWS Cost Explorer, • Compute Optimizer, • Tagging governance, • Savings Plan management #J-18808-Ljbffr
