Description
On-site in Farmington Hills, MI
Our client seeks a Sr. DevOps Engineer / AWS AI Platform Engineer to design, implement, and support secure, scalable, and resilient AWS infrastructure for enterprise applications. The role focuses on cloud infrastructure, Infrastructure as Code, CI/CD, containerized workloads, security, networking, observability, automation, and operational readiness.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $ to $82.00/hr. w2
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.
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Maintain infrastructure documentation, architecture diagrams, deployment standards, and operational procedures.
Experience 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.
