Platform Engineer; Cloud-Native AI​/ML Systems Integration

Dayton, OH

Location:

Dayton, OH (preferred) | Remote Eligible (CAC Access Required)

Clearance: TS/SCI Preferred

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.

• 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 (Git Lab, Jenkins, Git Hub 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

• 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 Dev Sec Ops  practices
• Understanding of distributed systems and system integration
• Ability to operate effectively in secure or regulated environments

In many environments, AI stops at experimentation; in this role, you ensure it becomes operational capability.

• Enable AI/ML systems to move from development to deployment
• Support mission‑critical operations tied to national security
• Work at the intersection of cloud‑native engineering, Dev Sec Ops , and AI infrastructure
• Build systems where failure is not an option and performance is essential

Your work directly impacts how advanced technology is applied in real‑world scenarios.

• Hands‑on ownership of platforms powering AI/ML in mission environments
• Experience integrating modern cloud‑native technologies into secure, real‑world systems
• Growth across platform engineering, Dev Sec Ops , and AI infrastructure
• The opportunity to solve problems most engineers never encounter

Rackner is a software consultancy that builds cloud‑native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy focused on solving complex problems through distributed systems, Dev Sec Ops , AI/ML, and modern systems architecture.

We enable digital transformation by applying cloud‑first, cost‑effective innovation across mission‑critical environments. Our customers span a diverse and growing set of industries, and our teams are driven by a shared focus on end‑to‑end system delivery and real‑world impact.

• 401(k) with 100% match up to 6%
• Highly competitive PTO
• Life Insurance + Short & Long‑Term Disability
• Home office & equipment plan
• Industry‑leading weekly pay schedule

#Platform Engineering #Kubernetes #Dev Sec Ops  #AI Infrastructure #Machine Learning Ops  #Cloud Native #Defense Tech #Cleared Jobs #National Security #Infrastructure Engineering #Distributed Systems #Terraform #Docker #Data Engineering #MLOps

As set forth in Rackner’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our…