Platform Engineer (cloud-native Ai/ml Systems Integration)
Rackner Inc
Dayton, OH, United States
On-site
Kubernetes platform engineering
Containerized environments (docker, helm)
Infrastructure as code (terraform, ansible)
As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments
Job Summary
As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments.
You won’t just build platforms: you’ll bridge the gap between AI development and operational deployment, ensuring systems scale, integrate, and perform under real constraints.
Rackner invests in your growth, stability, and long-term success with benefits like paid certifications, 401(k) match, and comprehensive health coverage.
Matching Summary
As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments.
Skills & Requirements
Must-have
Kubernetes platform engineering
Containerized environments (Docker, Helm)
Infrastructure as Code (Terraform, Ansible)
CI/CD pipelines
Observability and monitoring
Nice-to-have
Mission-critical systems integration
Classified environments experience
Cross-functional collaboration
Key Requirements
TS/SCI Preferred clearance
CAC Access Required for remote
Strong Kubernetes experience
Hands-on Docker and Helm experience
Experience supporting data pipelines or ML systems