Platform Engineer (Cloud-Native AI/ML Systems Integration)

Rackner•Dayton, OH

1d•Remote

About The Position

This is not a typical engineering role. As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments. Your work will directly support Air Force / NASIC-aligned programs, where performance, security, and reliability are non-negotiable. 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.

Requirements

Strong experience with Kubernetes and cloud-native platform engineering
Hands-on experience with containerization (Docker, Helm)
Experience supporting data pipelines or ML-enabled systems
Familiarity with Infrastructure as Code (Terraform, Ansible)
Experience with CI/CD and DevSecOps practices
Understanding of distributed systems and system integration
Ability to operate effectively in secure or regulated environments

Responsibilities

Architect and operate Kubernetes-based platforms supporting AI/ML workloads
Build and manage containerized environments (Docker, Helm, OCI) for scalable deployment
Design and optimize data pipelines for ingestion, transformation, and model lifecycle support
Integrate AI/ML services into secure, mission-critical systems
Develop Infrastructure as Code (Terraform, Ansible) for repeatable, compliant environments
Build and enhance CI/CD pipelines (GitLab, Jenkins, GitHub Actions)
Implement observability and monitoring (Prometheus, Grafana) to ensure system health and performance
Collaborate cross-functionally to translate complex requirements into deployable systems
Solve engineering challenges within classified and constrained environments