Support advanced research, development, and operational programs across cyberspace operations
Help design, implement, test, and secure high-performance systems that support national security objectives
Design, build, and maintain containerized environments (Docker, Kubernetes, OpenShift, or similar)
Manage and optimize CI/CD pipelines supporting application, data, and machine learning workloads
Implement DevOps and MLOps best practices across development, testing, and production environments
Oversee data collection, ingestion, and curation workflows to support analytics and ML use cases
Collaborate with cross functional teams including software engineers, data scientists, and systems engineers
Manage relationships with external vendors
Implement security, compliance, and governance practices across infrastructure and data workflows
Troubleshoot infrastructure issues and drive continuous improvement initiatives
Perform administrative tasks for the lab

A minimum of 7 yrs of related experience
Strong hands-on experience with container technologies (Docker, Kubernetes, container registries)
Solid understanding of CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar)
Experienced in implementing MLOps and DevOps tools (MLFLow, Ansible, etc)
Knowledge of data workflows including data ingestion, processing, quality validation, and cataloging
Experience managing vendor integrations and technical relationships
Strong communication, documentation, and project coordination skills

DevOps Engineer

Key skills