DevOps Engineer

Responsibilities

• Architect, implement, and maintain modern ML development pipelines.
• 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.
• 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.

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.

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.

Benefits

• Competitive Wages
• Medical, Rx, Dental & Vision Insurance
• 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-Learn
• 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.