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

rackner· Engineering
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📍 Dayton, OH

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
  • 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

What You Bring

  • 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

Clearance Requirements

  • Active TS/SCI clearance strongly preferred
  • Candidates with an active Secret clearance may be considered and supported for upgrade
  • Candidates without an active clearance must be:
    • U.S. citizens
    • eligible to obtain and maintain a clearance
    • able to work in a CAC-enabled or secure environment

Note: Start timelines and work scope may vary depending on clearance status and program requirements

Why This Role Matters

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

You will:

  • 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, DevSecOps, 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.

What You’ll Gain

  • Hands-on ownership of platforms powering AI/ML in mission environments
  • Exposure to complex, high-scale distributed systems
  • Experience integrating modern cloud-native technologies into secure, real-world systems
  • Growth across platform engineering, DevSecOps, and AI infrastructure
  • The opportunity to solve problems most engineers never encounter

About Rackner

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, DevSecOps, 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.

Benefits & Perks

Rackner invests in your growth, stability, and long-term success:

  • Paid certifications & professional development
  • 401(k) with 100% match up to 6%
  • Highly competitive PTO
  • Comprehensive Medical, Dental, Vision coverage
  • Life Insurance + Short & Long-Term Disability
  • Home office & equipment plan
  • Industry-leading weekly pay schedule

 

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Frequently Asked Questions

Is the salary disclosed for the Platform Engineer (Cloud-Native AI/ML Systems Integration) position at rackner?
The salary for this Platform Engineer (Cloud-Native AI/ML Systems Integration) role at rackner is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Platform Engineer (Cloud-Native AI/ML Systems Integration) position at rackner located?
This Platform Engineer (Cloud-Native AI/ML Systems Integration) role at rackner is based in Dayton, OH. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Platform Engineer (Cloud-Native AI/ML Systems Integration) at rackner belong to?
This Platform Engineer (Cloud-Native AI/ML Systems Integration) position is part of the Engineering department at rackner. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Platform Engineer (Cloud-Native AI/ML Systems Integration) position at rackner?
Click the "Apply Now" button on this page. You will be redirected to rackner's official application portal hosted on greenhouse where you can submit your application directly.
When was the Platform Engineer (Cloud-Native AI/ML Systems Integration) job at rackner posted?
This Platform Engineer (Cloud-Native AI/ML Systems Integration) position at rackner was posted on Mar 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Platform Engineer (Cloud-Native AI/ML Systems Integration)
rackner
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