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

Location: Dayton, OH (preferred) | Remote Eligible (CAC Access Required)

About the role

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.

Responsibilities

• 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) for efficient deployment
• 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

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

Qualifications

• 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

Skills

• Strong technical skills in Kubernetes, Docker, Helm, Terraform, Ansible, GitLab, Jenkins, GitHub Actions, Prometheus, Grafana, and CI/CD pipelines
• Experience with data pipelines and ML systems
• Knowledge of DevSecOps practices and secure coding
• Experience with distributed systems and system integration
• Ability to work in a classified or regulated environment

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

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, and 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.

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.