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Lead architecture, development, integration, and deployment of mission management software for satellite constellations. Guide Agile teams building mission planning, automated tasking, deconfliction, and replanning capabilities. Ensure scalable integration with operational environments and secure classified cloud deployment pipelines. Work onsite in SCIF or SAPF environments while maintaining rigorous security and performance standards.

Leads data science initiatives by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Develops predictive models and algorithms, translates complex datasets into actionable insights, advises clients, and guides teammates. Requires Python, SQL, statistical programming, TS/SCI clearance, DoD 8140 Level II certification, and up to 25% travel. Intelligence and geospatial analytics experience are preferred.

Designs, deploys, manages, and operationalizes Trellix Endpoint DLP and EDR controls across enterprise endpoints. Responsibilities include policy engineering, classification logic, telemetry and incident analysis, platform integrations, agent health, automation, troubleshooting, runbook development, and stakeholder collaboration with legal, compliance, HR, and data governance teams. The role requires cybersecurity engineering experience, regulated-industry expertise, scripting skills, and an active TS/SCI clearance.

Leads the design, development, deployment, and sustainment of production AI agents and AI-enabled applications. Defines agent architectures, integrates enterprise and geospatial data with LLMs using RAG and MCP, and guides Node.js and Oracle Database application development. Provides hands-on technical leadership, mentors developers, reviews engineering work, establishes practices, and coordinates delivery across mission, data, cloud, security, database, and customer stakeholders.

Installs, configures, maintains, secures, and upgrades RHEL and Windows systems across physical, virtual, and cloud environments. Applies patches, conducts cybersecurity compliance scans, manages system performance, and supports RMF compliance. Develops documentation, troubleshooting guides, and configuration procedures; communicates technical risks and solutions to clients; analyzes network metrics; and helps modernize mission-critical infrastructure. The role also provides technical leadership and requires collaboration across systems administration, cybersecurity, virtualization, containerization, and cloud environments.

Designs and leads implementation of secure, scalable on-premises, hybrid, and cloud infrastructure solutions for Public Health data modernization. Responsibilities include enterprise analytics architecture, tool evaluations, MVP engagements, CI/CD pipeline development, cloud security, automation, governance, and cost optimization. The role collaborates with engineers, product teams, and stakeholders, leads technical teams, and supports federal IT and scientific-computing environments.

Develop, train, evaluate, deploy, and maintain computer vision and machine learning models for warfighter performance and visual defect or anomaly detection. Translate operational needs into maintainable ML solutions, design validation strategies, optimize model thresholds, and integrate inference into software systems. Collaborate with data engineers, data scientists, architects, subject matter experts, and product owners while communicating technical findings and tradeoffs.

Designs and implements cybersecurity engineering solutions, secure configurations, risk mitigation activities, and cyber-hardening measures across enterprise or mission systems. Supports RMF, ATO processes, STIG compliance, vulnerability management, continuous monitoring, secure architecture reviews, and POA&M development. Uses scripting and enterprise cybersecurity tools to automate configuration, remediation, and compliance validation. The role also requires mentoring team members and working independently in support of DoW cybersecurity requirements.

Lead data science efforts for federal customers: analyze large structured and unstructured datasets, build predictive models and ML algorithms, automate analytic workflows, mentor teammates, brief military leaders, translate technical requirements for non-technical stakeholders, and support deployments and CONUS/international travel as needed.

Develop algorithms and analytical systems to transform structured and unstructured data into actionable insights. Collaborate with clients to understand data-related questions, apply statistical and scientific methods, and analyze complex datasets supporting areas such as fraud detection, cancer research, and national intelligence. The role requires Python experience, data analysis skills, a bachelor’s degree, and TS/SCI clearance with polygraph.