Drimva

Innovative Defense Technologies

Platform Engineer - JobID-0327

$135K–$273K

Arlington, Virginia · Hybrid · Full-time · Posted Oct 29, 2026

Experience
3+ years of professional software development/deployment experience; equivalent full-time professional experience may substitute for the listed degree.
Education
Bachelor’s degree in information technology, Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, or Math, or equivalent full-time professional experience.
Visa sponsorship
Applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.

About the job

Develop and maintain Infrastructure as Code for automated deployment and configuration of Kubernetes-based products, while troubleshooting deployments and supporting clusters in unclassified and classified environments.

What you'll do

  • Develop, implement, and maintain deployment automation for a multi-site, microservice-based application.
  • Deploy and maintain Kubernetes clusters; debug and resolve software deployment and configuration issues.
  • Design, integrate, test, and review software, applying secure coding and using AI to improve automation and team workflows.

What they ask for

  • Bachelor’s degree in a listed technical field, or equivalent full-time professional experience.
  • 3+ years of professional software development/deployment experience in technically rigorous environments.
  • Experience with Docker, Kubernetes, Kubernetes management services such as Helm or ArgoCD, and virtualization technologies such as VMware, KVM, or EC2.
  • Experience with automation tools, networking in virtualized environments, Linux, Bash/Shell, and basic full-stack development; ability to obtain/maintain an active Secret U.S. Security Clearance.

Nice to have

  • Master’s Degree in Engineering or another technical field.
  • Experience with RKE2, distributed storage, Git/Jenkins/Artifactory, DevSecOps, or a public cloud environment.

Pay

$135,000 - $273,000 USD base salary

Tools

Docker, Kubernetes, Helm, ArgoCD, VMware, KVM, EC2, Ansible

AI focus

Use AI coding assistants and other AI solutions to accelerate development, improve deployment and maintenance efficiency, streamline workflows, generate scripts, and troubleshoot.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)