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Design, build, and deliver enterprise-grade geospatial intelligence software. Develop multi-tier and microservice applications, deploy containerized workloads to cloud, build/maintain CI/CD pipelines, automate with scripting, operate in Linux, and collaborate in Agile teams to support NGA missions.

Develop, deploy, and maintain operational software including GUI improvements, bug fixes, and integrations. Work across cloud and virtualized environments, automate DevOps pipelines, manage application configuration and libraries, evaluate third-party software, and perform testing and documentation. Adhere to coding standards and support release readiness within a security-cleared mission environment.

Provide full‑spectrum DevOps support for a RHEL/SE Linux enterprise environment: deploy and maintain configurations via Red Hat Satellite and Ansible, troubleshoot deployments with site admins, integrate vendor tools into automation, develop and run test plans (including filesystem upgrades), and apply DevOps best practices to deliver repeatable, reliable deployments.

Support MES-to-PLC integrations, configure communications, integrate MES routines into PLCs, maintain PLC tags/logic, troubleshoot PLC/HMI/network issues, ensure accurate real-time production reporting, assist production teams with launches, upgrades, audits, and continuous improvement to optimize manufacturing execution and data integrity.

Support MES-to-PLC integrations, configure MES/PLC communications, create and maintain PLC tags/logic, troubleshoot PLC/HMI/network issues, maintain production data and reporting, support launches, upgrades, and quality enforcement in high-volume discrete manufacturing.

Support MES-to-PLC integrations, configure MES-PLC communications, implement PLC tags/UDTs, troubleshoot PLC/HMI/networks, maintain real-time production reporting, assist production launches, and optimize MES-driven manufacturing processes.

Lead and operationalize AI/ML models for GEOINT analytics, mentor staff, and partner with stakeholders to enhance geospatial decision-making processes.

Lead the development of AI/ML models for geospatial data, mentor analysts, and integrate tech solutions to enhance analytical workflows.

Lead the development of AI/ML models for geospatial data, mentor data scientists, and ensure operational reliability of models in support of GEOINT missions.

The Data Scientist SME will develop and scale GEOINT AI/ML pipelines, design ML models for geospatial datasets, mentor teams, and operationalize analytics in a cloud environment.