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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Expert Level Spectral Integration Engineer - **Company:** Peraton Inc - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $146,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Applicant Tracking Systems, Systems Engineering, Cloud Computing, Data Transformation Services, Expert Systems, Geospatial Intelligence, Design of User Interfaces, Information Sciences, Language Modeling, Service-Oriented Architecture, Systems Architecture, Systems Integration, Information Technology, Enterprise Integration, Vulnerability Analysis - **Published:** July 15, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9032729/expert-level-spectral-integration-engineer ## About the Role * Bachelor's degree in Engineering, Computer Science, Imagery Analysis, or another STEM-related discipline + Additional experience may be substituted for education (4 years with no degree or 2 years with a non-STEM degree) * 18+ years of relevant experience. * 5+ years of experience integrating sensor programs into large, complex System-of-Systems or Service-Oriented Architecture (SOA) environments across cloud, on-premises, or hybrid infrastructures. * 5+ years supporting NGA programs or projects. * Experience integrating spectral data into spectral exploitation tools. * Experience integrating cloud-based technologies and enterprise solutions. * Strong understanding of the Systems Engineering Lifecycle. * Demonstrated knowledge of the National System for Geospatial-Intelligence (NSG), Allied System for Geospatial-Intelligence (ASG), and National Reconnaissance Office (NRO) enterprise environments. * Previous Intelligence Community (IC) or Department of Defense (DoD) program experience. * Active TS/SCI clearance or the ability to obtain SCI eligibility and successfully pass a polygraph. * Master's degree in Engineering, Computer Science, Imagery Analysis, or another STEM-related field. * INCOSE Expert Systems Engineering Professional (ESEP) certification. * Experience integrating spectral exploitation tools within the SAGE/CAP architecture. * Experience with NGA Advanced Tradecraft Services (ATS) tools, including Data Transformation Services and the Full Spectrum Tool Kit. * Working knowledge of Model-Based Systems Engineering (MBSE), associated methodologies, tools, and modeling languages. * Expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems (GIS), geomatics, or related disciplines. * Experience integrating Automation, Augmentation, and Artificial Intelligence (AI) technologies into enterprise solutions. ## Description * Lead the engineering, integration, and deployment of enterprise-scale spectral exploitation environments supporting GEOINT mission operations. * Serve as a trusted technical advisor to government leadership, providing expertise on strategic vision, technical roadmaps, system capabilities, and enterprise integration. * Translate mission needs and customer requirements into scalable technical solutions and systems capability requirements. * Plan and execute complex systems integration activities across cloud, on-premises, and hybrid environments. * Collaborate with systems engineers, developers, and Image Scientists to ensure end-to-end interoperability across the NSG TCPED Enterprise. * Analyze user requirements, system architectures, workflows, and technical dependencies to improve performance, automation, and operational efficiency. * Support technical planning, project management, risk mitigation, interface design, and performance engineering efforts. * Establish and maintain an integrated Processing, Exploitation, and Dissemination (PED) environment that enables advanced spectral exploitation tradecraft for image scientists. * Ensure the integrity, scalability, and performance of complex system-of-systems architectures supporting national intelligence missions. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? 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