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# Expert Level Systems Engineer

- **Company:** CCS, LLC
- **Location:** San Francisco, CA, United States
- **Salary:** $158,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Systems Engineering, Big Data, Cloud Computing, Expert Systems, Geospatial Intelligence, Information Sciences, Service-Oriented Architecture, Software Engineering, Information Technology
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/7b2bea3a-fe74-4a3f-a2d1-9703841cc195

## About the Role

Bachelor's degree or higher in Systems Engineering or a related technical/scientific field such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or a related STEM discipline; or equivalent additional experience (4 years with no degree or 2 years with a non-STEM degree).

18+ years of experience working in government or industry in relevant areas, including DoD/IC acquisition processes, requirements processes, PPBES processes, or systems engineering of large, complex Systems of Systems or Service-Oriented Architecture (SOA) environments operating in cloud, on-premises, or hybrid infrastructures.

Strong understanding and demonstrated experience across the systems engineering lifecycle.
Demonstrated knowledge of the current NSG/ASG and NRO enterprises.
Previous NGA and/or NSG/ASG program or project experience.
Previous IC or DoD program/project experience.

Preferred -
Master's degree or higher in Systems Engineering or a related technical/scientific field such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or a related STEM discipline.
Working knowledge of Model-Based Systems Engineering (MBSE) processes, tools, and languages.
Software Development Framework certification.
INCOSE Expert Systems Engineering Professional (ESEP) certification.
Professional Engineer (PE) licensure.

Membership or leadership participation in professional organizations such as, Extensive experience in Geospatial Intelligence (GEOINT).
Experience engineering solutions using cloud-based technologies.
Experience engineering solutions using structured and unstructured Big Data.
Experience engineering solutions using Automation, Augmentation, and Artificial Intelligence technologies.
Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems (GIS), geomatics, or related disciplines.



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