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…
What we'd score you on
reqspace match rubricFive 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.
Score yourself on this role.
Free · no card · written explanation included
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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