Join us at Zone 5 Technologies where innovation and cutting-edge technology drive pioneering advancements in unmanned aircraft systems (UAS). Based in the vibrant city of San Luis Obispo CA, we’re seeking talented individuals to join and contribute to our growing team.
We thrive on pushing boundaries and inventing solutions to real-world challenges. Join a community of forward-thinkers who collaborate to create impactful products with a global reach. Our team, consisting of engineers and professionals, is prepared to overcome new frontiers and deliver innovative solutions in the field of unmanned aircraft systems.
Join our dynamic team as a Senior DevOps Security Engineer to build and scale the training, CI/CD, and deployment infrastructure that supports our machine learning and autonomy systems – from cloud to edge. You’ll work across platform, CI/CD, observability, and edge packaging to enable secure, performant model delivery to real-world systems.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field – equivalent experience is also welcome
• 5+ years experience in infrastructure, DevOps, or platform engineering roles
• Strong experience with Kubernetes or Nomad, Docker Compose, and Infrastructure as Code (Terraform/Ansible)
• Proven success deploying models and AI/ML based applications in production environments
• Familiarity deploying to constrained edge devices (e.g., Jetson, Raspberry Pi, FPGA) (preferred)
• Master’s degree in a related field (bonus)
• Familiarity with DoD RMF/STIG frameworks (preferred)
• Security-focused development experience

Platform Engineering

• Build GPU training infrastructure using Kubernetes or bare-metal with Docker and Terraform
• Develop and maintain model registries (e.g., MLflow, ClearML)
• Automate model evaluation pipelines
• Github actions and automation

CI/CD

• Design GitHub Actions or Argo workflows for training and deployment
• Implement unit and integration tests, security scans, and software bill of materials (SBOM) using tools like Trivy

Edge Deployment

• Package models (e.g., Tritor or custom services) for constrained environments
• Manage updates and ARM64 cross-compilation for embedded devices

Observability

• Implement and maintain metrics/logging stack (Prometheus, Loki, Grafana)
• Monitor system performance, latency, and model drift