Senior DevOps Engineer / AWS AI Platform Engineer

We are seeking a Senior DevOps Engineer / AWS AI Platform Engineer to design, build, automate, secure, and maintain scalable AWS cloud infrastructure supporting enterprise applications and AI-enabled workloads. The role requires 8+ years of hands-on DevOps, Cloud, or Platform Engineering experience, with strong expertise in AWS services, Terraform, Docker, Amazon ECS, Fargate, ECR, and CI/CD automation. 8+ years of experience in DevOps, Cloud Engineering, or Platform Engineering. Strong hands-on experience designing, deploying, and managing AWS cloud infrastructure. Proficiency in Terraform and Infrastructure as Code (IaC). Experience with AWS networking, including VPCs, subnets, routing, security groups, and private connectivity. Working knowledge of AWS services such as S3, RDS/PostgreSQL, DynamoDB, KMS, Secrets Manager, and EventBridge. Hands-on experience with Docker, Amazon ECS, AWS Fargate, and Amazon ECR. Proven experience deploying, managing, scaling, and troubleshooting containerized applications in production. Strong experience designing and maintaining CI/CD pipelines. Proficiency with Git, GitHub, and Python or shell scripting. Strong understanding of AWS IAM, role-based access, least-privilege permissions, encryption, and cloud security. Hands-on experience with Amazon CloudWatch for monitoring, logging, alerting, and dashboards. Practical experience supporting AI-enabled applications integrated with Amazon Bedrock. Understanding of AI workload infrastructure, security, networking, permissions, and monitoring requirements. Experience working in large enterprise or regulated environments. Strong production troubleshooting, problem-solving, documentation, and communication skills. Ability to work on-site four days per week in Farmington Hills, Michigan.