Rackner logo
Rackner

Rackner, Inc. builds cutting-edge solutions that apply the power of AI and DevSecOps in public and private clouds, leveraging the future of computing capability and technologies su

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

Location

United States

Posted

73 days ago

Salary

0

Seniority

Mid Level

Job Description

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

Rackner

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 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. 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 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

Job Requirements

  • 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

Benefits

  • 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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