Sr. DevOps Engineer / AWS AI Platform Engineer

Design, implement, and support secure, scalable, and resilient AWS infrastructure for enterprise applications, focusing on cloud infrastructure, IaC, CI/CD, containerized workloads, security, networking, observability, automation, and operational readiness.

Farmington Hills, Michigan, United States
Contract
On-site
Posted Nov 4, 2026

INDUSTRYSoftware & InternetSaaS & Enterprise Software

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Responsibilities

Design, provision, and maintain AWS infrastructure using Terraform and IaC
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

Skills

AWS TerraformECS/FargateDockerGit/GitHubIAMPython shell scriptingCloudWatchCI/CDIaCVPC networkingKMSSecrets ManagerEventBridgeAmazon BedrockTerraform AWS Docker Git GitHub Python shell scripting

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Full description

Title: Sr. DevOps Engineer / AWS AI Platform Engineer Location: Farmington Hills Michigan 48331 Duration: 6+ months Must Have AWS CI/CD cloudwatch Docker ECS/Fargate Experience supporting AI-enabled applications and Amazon Bedrock Experience working within large enterprise or regulated environments Git/GitHub IAM Python or shell scripting for infrastructure and deployment automation Sr. DevOps Engineer / AWS AI Platform Engineer Wealth & Asset Management Position Summary The Sr. DevOps Engineer / AWS AI Platform Engineer is responsible for designing, implementing, and supporting secure, scalable, and resilient AWS infrastructure for enterprise applications. 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. Required Qualifications 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.