Senior DevSecOps Engineer

Under general supervision with limited review, this position independently determines approaches/solutions for the design, development and/or modification of specific programs or projects for enterprise-wide end-user, system level, and data management software applications. Involved in planning of application development and deployment as well as responsible for meeting software compliance standards on specific programs or projects. Evaluates integration of software applications with the overall computing environment; responsible for documentation, testing, maintenance, and software updates. Communicates with domain experts, outside customers, users, and management throughout the software development lifecycle.

DUTIES & RESPONSIBILITES:

• Design data pipelines and AI/ML engineering infrastructure to support enterprise level operationalization of machine learning systems
• Work as part of an interdisciplinary team to productionize AI/ML models for air-to-air and air-to-ground combat operations
• Develop and deploy scalable tools and services for rapid AI/ML training and inference at the edge
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems
• Apply robust software engineering best practices to machine learning ecosystem, including CI/CD, automation, etc.
• Support stable and repeatable model development, with an emphasis on traceability, version control, adversarial robustness and data security
• Help develop and deploy proof-of-concept machine learning systems to the warfighter
• Communicate with stakeholders to develop roadmaps and implementation schedules