Jobs → Engineering → AWS Cloud & Platform Engineer

AWS Cloud & Platform Engineer

Geetha SUnited StatesSENIORPosted 1h ago
AWSCI/CDcloudwatchDockerECS/FargateAI-enabled applicationsAmazon BedrockEnterprise environmentsGit/GitHubIAMPythonshell scriptingAWS securityMonitoringHigh availabilityProduction operationsTerraformWealth & Asset Management
About the Role We are seeking a Senior DevOps / AWS Cloud & Platform Engineer for an onsite long-term W2 contract role in Farmington Hills, MI. This role focuses on cloud infrastructure, Infrastructure as Code (IaC), CI/CD, containerized workloads, security, networking, observability, automation, and operational readiness. Key Responsibilities • Design, provision, and maintain AWS infrastructure using Terraform and Infrastructure as Code. • Build and support CI/CD pipelines and automated deployment processes. • Manage containerized workloads using Amazon ECS, AWS Fargate, Docker, and Amazon ECR. • Support AWS services including S3, RDS/PostgreSQL, DynamoDB, Amazon Bedrock, CloudWatch, IAM, KMS, Secrets Manager, and EventBridge. • Configure and support VPC networking, security groups, routing, private connectivity, encryption, and access controls. • Implement monitoring, logging, alerting, and operational dashboards. • Troubleshoot infrastructure, deployment, networking, performance, and connectivity issues. • Ensure platform reliability, scalability, resiliency, security, and operational readiness. • Partner with application, AI, data, security, architecture, and operations teams. • Maintain infrastructure documentation, architecture diagrams, deployment standards, and operational procedures. Requirements • 8+ years of experience in DevOps, AWS cloud engineering, platform engineering, or related roles. • Strong hands-on experience with AWS, Terraform, ECS/Fargate, Docker, Git/GitHub, IAM, networking, and CloudWatch. • Experience with Python or shell scripting for infrastructure and deployment automation. • Strong understanding of AWS security, monitoring, high availability, and production operations. • Experience working within large enterprise or regulated environments. • Experience supporting AI-enabled applications and Amazon Bedrock.

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