DevOps Engineer

Nou Systems Inc•Colorado Springs, CO

1d•$120,000 - $165,000

About The Position

nou Systems, Inc. (nSI) solves diverse and challenging technical problems in an enjoyable, stimulating environment while providing unsurpassed value to our customers. We are pleased to announce the opening for a DevOps Engineer who will join our Research and Development division, supporting teams working on advanced AI/ML applications in missile defense, battle management, and related domains. You will help deploy, scale, and standardize machine learning development workflows in support of Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) projects. You’ll work at the intersection of infrastructure, software engineering, and machine learning to enable high-performing research teams to deliver impactful, secure, and maintainable solutions.

Requirements

A bachelor’s degree in computer science or a related technical field.
4 years of experience in DevOps - including support for GPU-accelerated workloads.
U.S. citizenship and the ability to obtain a Secret security clearance.

Nice To Haves

Strong proficiency in Linux-based development, shell scripting (Bash), and remote development on GPU-accelerated hardware.
Hands-on experience with containerization and reproducibility using Podman (or similar) and tools like Conda, Poetry, or Pixi, including setup behind proxies and secure artifact repositories (e.g., Artifactory).
Proven ability to build and manage CI/CD pipelines in GitLab (or equivalent), including automated testing, MR enforcement, and runner configuration.
Familiarity with Python-based machine learning frameworks and tooling (e.g., PyTorch Lightning, Optuna, MLflow, Ray-RLLib).
Experience deploying ML solutions in secure, classified, or DoD-restricted environments.
Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and DevSecOps best practices.
Understanding of software supply chain security, including artifact validation and SBOMs.
Strong communication skills with a track record of writing clear technical documentation and supporting onboarding across technical teams.

Responsibilities

Build and maintain GPU-capable development environments and containerized workflows.
Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and deployment.
Implement and enforce GitLab merge request policies and code quality standards.
Create shell scripts and config files to streamline setup, reproducibility, and remote development (e.g., SSH-based HPC access).
Define and document standardized ML development practices across teams.
Collaborate with ML researchers, software engineers, and cybersecurity teams to transition prototypes into production-ready systems.
Support secure deployment of ML solutions in DoD-restricted environments.
Contribute to SBIR/STTR project execution and proposal development.