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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Skills Required
- 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
What We Do
Rackner builds cutting-edge solutions that apply DevSecOps and the power of AI in the datacenter, public and private clouds, and edge, leveraging the future of compute capability and technologies like Kubernetes (k8s) and WebAssembly (WASM). We're a member of the Cloud Native Computing Foundation and a Kubernetes Certified Service Provider - as well as a partner to the major public cloud companies. Our customers include hypergrowth startups and federal agencies, both Civilian and Defense. Core Competencies - DevSecOps - Edge Computing - AI/ML - Cloud-Native and Hybrid-Cloud development - Web and Mobile Applications Development (Microservices)






