Hiring: DevOps Engineer Company: nou Systems, Inc. Location: Colorado Springs, CO Job Posted Time: 2026-09-17 11:25:35 Employment Type: Remote Target Skills & Keywords : Ansible, Bash, CI/CD, Conda, GitLab, GitLab CI, Linux, MLflow, Machine Learning, Podman, Poetry, PyTorch, Python, Security Clearance, Shell, Terraform About the job Experience: •4 years of experience in DevOps - including support for GPU-accelerated workloads. Required Skills: •As an DevOps Engineer, you will help architect, implement, and maintain modern ML development pipelines. You’ll collaborate across multiple research teams, supporting their ability to develop, test, and deploy machine learning capabilities quickly and securely. •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. •Partner cross-functionally 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. Qualifications: •A bachelor’s degree in computer science or a related technical field. •U.S. citizenship and the ability to obtain a Secret security clearance. •Candidates must meet all basic qualifications to be considered. •Strong proficiency in Linux-based development, shell scripting (Bash), and remote development on GPU-accelerated hardware. •Applied hands-on capability in 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. •Operational familiarity with Python-based machine learning frameworks and tooling (e.g., PyTorch Lightning, Optuna, MLflow, Ray-RLLib). •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. Compensation: •$120,000 - $165,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!