Top Skill Set Needed:
- AWS Infrastructure Engineering They need someone who can confidently build and support cloud infrastructure in AWS from day one.
- Infrastructure as Code (Terraform or AWS CDK) This is one of the core responsibilities and probably the biggest technical filter for the role.
- CI/CD with GitHub Actions They specifically emphasized deployment pipelines, automation, and environment promotion.
- Cloud Operations / Observability Monitoring, logging, reliability, alerting, disaster recovery, and operational ownership are all major pieces of the role.
Mid Infrastructure / Platform Engineer (AWS / DevOps) We are seeking a Mid-Level Infrastructure / Platform Engineer to help build and support a new enterprise AI asset registry platform focused on governance, discoverability, and compliance of AI tools and services across the organization. This engineer will focus heavily on AWS infrastructure, CI/CD pipelines, Infrastructure as Code, platform reliability, and observability while partnering closely with a small development team building AI registry integrations and metadata services. Responsibilities
- Build and support AWS cloud infrastructure
- Develop Infrastructure as Code using Terraform or AWS CDK
- Create and maintain CI/CD pipelines using GitHub Actions
- Implement monitoring, logging, alerting, and operational reliability practices
- Support environment promotion, disaster recovery, and platform scalability
- Collaborate closely with developers on integrations and deployment workflows
Required Experience
- Strong AWS experience
- Infrastructure as Code (Terraform or AWS CDK)
- CI/CD pipelines using GitHub Actions
- Cloud monitoring and observability tooling
- Experience with IAM, networking, security groups, and cloud security fundamentals
Nice to Have
- Docker / containerization
- ECS, Fargate, or EKS exposure
- Dynatrace or similar observability tools
- Amazon OpenSearch Service experience
- Experience in fast-moving or ambiguous engineering environments
Additional Details
- 6-12 month contract with potential extension/conversion
- Small collaborative team environment
- Preferred hybrid schedule in Des Moines
- Interview process is typically one 1-hour interview with minimal coding assessment