eNGINE

A recognized tech services company is seeking a new Terraform AWS Engineer to join their team Remotely. In this role, the Terraform AWS Engineer will be responsible for designing, implementing, and maintaining infrastructure-as-code (IaC) solutions to support scalable machine learning inference workloads across multiple AWS accounts.

Responsibilities:

• Develop and maintain Terraform modules for provisioning ML inference pipelines (real-time, batch, serverless, asynchronous)
• Automate deployment of SageMaker endpoints, Lambda functions, Step Functions, and associated monitoring/logging infrastructures
• Implement cross-account infrastructure for model registry, approval workflows, and endpoint deployment
• Provision and manage AWS resources including S3 buckets, CloudTrail, EventBridge, CloudWatch log groups, and API Gateway
• Ensure infrastructure is secure, scalable, and compliant with organizational standards
• Collaborate with ML engineers, security architects, and cloud architects to align infrastructure with model lifecycle workflow
• Support backup and restore processes for model artifacts and logs
• Maintain documentation and version control of Terraform configurations

Qualifications:

• Strong experience with Terraform and AWS services (SageMaker, Lambda, Step Functions, CloudWatch, S3, IAM, API Gateway)
• Proficiency in infrastructure-as-code principles and CI/CD pipelines
• Familiarity with ML workflows and model deployment processes
• Experience with multi-account AWS environments and cross-account resource sharing
• Knowledge of Security best practices in Cloud environments

Desired Skills:

• Experience in MLOps or ML platform engineering
• Familiarity with monitoring tools and alerting systems
• Understanding of model governance and compliance frameworks