Senior DevOps Security Engineer

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.

Responsibilities:

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

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