Job Description
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
