DevOps Engineer

nou Systems, Inc.; Colorado Springs (CO); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Competitive Wages

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Job summary

A technical solutions provider in Colorado Springs is seeking a DevOps Engineer. The role involves building GPU-capable environments and developing CI/CD pipelines for ML applications. Qualified candidates will have a bachelor’s degree and 4 years of DevOps experience, with skills in Linux, containerization, and CI/CD pipelines. Competitive compensation and a comprehensive benefits package are offered.

Qualifications

• 4 years of experience in DevOps with a focus on GPU-accelerated workloads.
• Ability to obtain a Secret security clearance.
• Strong communication skills and experience with technical documentation.

Responsibilities

• Build and maintain GPU-capable development environments.
• Develop CI/CD pipelines with automated testing and deployment.
• Collaborate with teams to transition prototypes into production systems.

Skills

Linux-based development

Shell scripting (Bash)

CI/CD pipelines management

Containerization tools (Podman, Conda)

Python-based machine learning frameworks

Education

Bachelor’s degree in computer science or related field

Tools

GitLab

Terraform

Ansible

Job description

Join to apply for the DevOps Engineer role at nou Systems, Inc.

This range is provided by nou Systems, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $165,000.00/yr

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.

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.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.

Company & Benefits

nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:

• Competitive Wages
• Medical, Rx, Dental & Vision Insurance
• Medical plan with Health Savings Account eligibility
• Company-funded Life, Short-Term & 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, & Lunch-n-Learns
• Corporate Sponsored Events & Community Outreach
• Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location.

Equal Opportunity

nSI is an Equal Opportunity Employer. Employment opportunities are based upon qualifications and capabilities to perform essential functions, and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. U.S. citizenship is required for most positions.

Annual Salary Range: $120,000 - $165,000