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Kubernetes · DevSecOps

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

Dayton, OH · OnsitePosted 4 months ago
InfrastructureUnspecified
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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

  • #PlatformEngineering #Kubernetes #DevSecOps #AIInfrastructure #MachineLearningOps #CloudNative #DefenseTech #ClearedJobs #NationalSecurity #InfrastructureEngineering #DistributedSystems #Terraform #Docker #DataEngineering #MLOps

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