An innovative technology company is currently seeking a Terraform AWS Engineer to join their team. This role involves designing and implementing infrastructure-as-code solutions for scalable machine learning inference workloads across multiple AWS accounts.
About the Opportunity:
This section is used to highlight any specific details about the role. It helps deter candidates who cannot meet requirements such as hourly expectations, shifts, or schedule needs.
- Hybrid or Remote: Remote
- Shift: Day
- Schedule: Full-time
- Hours: 40 per week
- Setting: Technology/Infrastructure
Responsibilities:
The Terraform AWS Engineer will be responsible for:
- Developing and maintaining Terraform modules for ML inference pipelines, including real-time, batch, serverless, and asynchronous processes
- Automating deployment of SageMaker endpoints, Lambda functions, Step Functions, and monitoring/logging infrastructure
- Implementing cross-account infrastructure for model registry and deployment workflows
- Provisioning and managing AWS resources such as S3, CloudTrail, EventBridge, CloudWatch, and API Gateway
- Ensuring infrastructure security, scalability, and compliance with standards
Qualifications:
- 3+ years of experience
- Bachelor's degree in Computer Science or related field
- Certification in AWS Solutions Architect or Terraform, preferred
- Strong proficiency in Terraform and AWS services (SageMaker, Lambda, etc.)
- Proficiency in infrastructure-as-code and CI/CD pipelines
- Familiarity with ML workflows and deployment processes
- Excellent troubleshooting and performance optimization skills
- Strong communication skills
- Ability to work collaboratively within a team
Desired Skills:
- 5+ years of experience
- Master's degree in Engineering or related field
- Certification in AWS Certified DevOps Engineer
- Experience in MLOps or ML platform engineering
- Familiarity with monitoring tools and compliance frameworks
