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Conducts cyber exploitation and vulnerability analysis involving network and system administration, information security, penetration testing, computer forensics, and information assurance. The role requires a TS/SCI clearance with polygraph, U.S. citizenship, and substantial relevant experience paired with an applicable technical degree or military coursework.

Design, develop, debug, test, integrate, and maintain complex software systems. Analyze requirements, develop algorithms and database interfaces, resolve software issues, improve development standards, and coordinate installations. Collaborate with systems and hardware engineers on requirements, interfaces, performance, and design trade-offs. Lead or oversee software development teams while ensuring compliance with project processes and quality standards.

The System Engineer Level 3 is responsible for automating infrastructure, optimizing CI/CD pipelines, managing cloud-native environments, and partnering with software teams for deployment efficiency.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

The analyst prepares synthesized products from research and analysis to meet Intelligence Community requirements, collaborates with teams, and maintains customer awareness.

Perform analytic modeling, statistical analysis, and data engineering to extract value from large, messy datasets. Design and implement ML and inference methods, translate mission needs into technical requirements, and communicate technical findings and recommendations to non-technical stakeholders.

Conduct advanced analysis of collection and open-source data to generate insights, ensure target continuity, and maintain databases. Identify intelligence gaps and apply multiple analysis disciplines.

Serve as principal AI technical advisor to translate emerging AI capabilities into workforce development and mission-focused training. Collaborate with researchers and engineers to define skills, build curriculum, create labs and use cases, support demonstrations and workshops, evaluate technologies, and guide AI governance, MLOps, LLMs, agentic AI, and cybersecurity integration for national security missions.

Develop, maintain, and enhance diverse software systems. Oversee software teams, conduct reviews, ensure quality, and design algorithms according to requirements.

Lead design, development, and deployment of production-grade AI systems for mission-critical cyber and intelligence operations. Architect scalable MLOps pipelines, deploy models to cloud, on‑prem, and edge, integrate AI into cybersecurity workflows, ensure secure and RMF-compliant deployments, mentor engineers, and transition prototypes into operational systems.