DevOps Engineer

Nou Systems • Colorado Springs, CO

8d

About The Position

nou Systems, Inc. (nSI) is hiring a DevOps Engineer to join its Research and Development division, supporting teams working on advanced AI/ML applications in missile defense, battle management, and related domains. The role focuses on deploying, scaling, and standardizing machine learning development workflows for Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) projects. Working across infrastructure, software engineering, and machine learning, the engineer will help research teams deliver impactful, secure, maintainable solutions.

The DevOps Engineer will architect, implement, and maintain modern ML development pipelines and collaborate with research teams to help them develop, test, and deploy machine learning capabilities quickly and securely. The position also contributes to SBIR/STTR project execution and proposal development. nSI describes itself as an innovative engineering and technical services company founded in 2012, with opportunities for advancement and career development.

Requirements

• Bachelor’s degree in computer science or a related technical field.
• Four years of DevOps experience, including support for GPU-accelerated workloads.
• U.S. citizenship.
• Ability to obtain a Secret security clearance.

Nice To Haves

• Strong proficiency in Linux-based development, Bash shell scripting, and remote development on GPU-accelerated hardware.
• Hands-on experience with containerization and reproducibility using Podman or similar tools, and Conda, Poetry, or Pixi, including setup behind proxies and secure artifact repositories such as Artifactory.
• Experience building and managing CI/CD pipelines in GitLab or an equivalent platform, including automated testing, merge request enforcement, and runner configuration.
• Familiarity with Python-based machine learning frameworks and tools such as PyTorch Lightning, Optuna, MLflow, and Ray-RLLib.
• Experience deploying ML solutions in secure, classified, or DoD-restricted environments.
• Knowledge of infrastructure-as-code tools such as Terraform and Ansible, and DevSecOps best practices.
• Understanding of software supply chain security, including artifact validation and SBOMs.
• Strong communication skills and a 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, such as GitLab CI, with automated testing, linting, and deployment.
• Implement and enforce GitLab merge request policies and code quality standards.
• Create shell scripts and configuration files to streamline setup, reproducibility, and remote development, including 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.

Benefits

• Competitive compensation and wages.
• Medical, prescription, dental, and vision insurance.
• Medical plan with Health Savings Account eligibility.
• Company-funded life, short-term disability, and long-term disability insurance.
• Personal time off, vacation, and paid holidays.
• 401(k) retirement plan.
• Employee Stock Ownership Plan (ESOP).
• Flexible Spending Accounts.
• Norton LifeLock.
• Tuition reimbursement.
• Personal development, technical learning opportunities, and Lunch-n-Learns.
• Corporate-sponsored events and community outreach.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level