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.