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Platform Engineer (Kubernetes / AI Mission Systems)

Rackner

Posted today

Job Requirements

Remote Dayton, OH
Top Secret/SCI Polygraph not specified
Career Level not specified
Salary not specified
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Job Description

Platform Engineer (Kubernetes / AI-Enabled Mission Systems)

Location: Dayton, OH (preferred) | Remote Eligible (CAC Access Required)
Clearance: Active TS/SCI Preferred | Secret Eligible for Upgrade | U.S. Citizenship Required
Employment Type: Full-Time

US Mission Overview

Rackner is supporting mission-critical programs within the national security and intelligence community, focused on integrating AI/ML capabilities into operational systems.

We are hiring a Platform Engineer to build and operate the cloud-native infrastructure that enables AI systems to deploy, scale, and perform in secure environments.

This role ensures AI/ML capabilities move beyond development into real-world operational impact.

What You’ll Do
Design and operate Kubernetes (K8s) platforms supporting AI/ML workloads
Build and manage containerized environments (Docker, Helm)
Develop Infrastructure as Code (Terraform, Ansible)
Build and optimize CI/CD pipelines (GitLab, Jenkins, GitHub Actions)
Enable data pipelines and ML workflows (ingestion, transformation, lifecycle support)
Integrate services into secure, mission-critical systems
Implement monitoring and observability (Prometheus, Grafana)
Collaborate across teams to deliver reliable, production-ready systems

Required Qualifications
Active TS/SCI clearance OR active Secret clearance with ability to upgrade
U.S. citizenship required
Experience with Kubernetes in production environments
Experience with containerization (Docker, Helm)
Experience with Infrastructure as Code (Terraform or Ansible)
Experience with CI/CD pipelines and DevSecOps practices
Understanding of distributed systems or microservices architectures

Preferred Qualifications
Experience supporting AI/ML systems, MLOps, or data pipelines
Experience working in classified or secure environments
Familiarity with event-driven architectures (Kafka or similar)
Experience with observability tools (Prometheus, Grafana)
Cloud experience (AWS, Azure, or hybrid environments)

Why This Role
Support mission-critical systems tied to national security
Build infrastructure that enables AI/ML systems to operate in real environments
Work on problems where scale, security, and performance intersect
Gain experience across platform engineering, DevSecOps, and AI infrastructure

About Rackner
Rackner is a software consultancy delivering cloud-native, AI/ML, and DevSecOps solutions across defense, enterprise, and startup environments. We focus on end-to-end system development, helping organizations modernize infrastructure and operationalize advanced capabilities in complex environments.

Benefits
401(k) with 100% match up to 6%
Competitive PTO
Medical, Dental, Vision coverage
Life Insurance + Short & Long-Term Disability
Paid certifications and professional development
Home office & equipment plan
Weekly pay schedule

What to learn more, apply here: https://grnh.se/8oxb8qxn5us



Kubernetes, Platform Engineer, DevOps, DevSecOps, Cloud-Native, Docker, Terraform, CI/CD, MLOps, AI/ML Infrastructure, Data Pipelines, TS/SCI, Cleared Jobs, Distributed Systems, Defense Tech
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Job Category
IT - Software
Clearance Level
Top Secret/SCI
Employer
Rackner