R
RacknerEngineering

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

Daytononsitemid

via Greenhouse

About this role

Platform Engineer (Cloud-Native AI/ML Systems Integration) Location: Dayton, OH (preferred) | Remote Eligible (CAC Access Required) Clearance: TS/SCI Preferred Build the Infrastructure That Makes AI Mission-Ready As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments supporting classified, mission-critical programs. 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. What You’ll Do Architect and operate Kubernetes-based platforms supporting AI/ML workloads Build and manage containerized environments (Docker, Helm, OCI) for scalable deployment…

Read the full description on Rackner's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: kubernetes, docker, helm, terraform, ansible…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Dayton. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

kubernetesdockerhelmterraformansiblejenkinsgithub actionsgrafanaprometheusgithubgitlabteams

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