> Markdown version of [/jobs/ext/1425191-geospatial-systems-engineer-in-springfield](https://www.wearedevelopers.com/jobs/ext/1425191-geospatial-systems-engineer-in-springfield). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Geospatial Systems Engineer in Springfield - **Company:** Energy Jobline - **Location:** Springfield, MO, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** HTML, JavaScript (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Systems Engineering, ArcGIS (Software), C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Static Program Analysis, Cyber Security, Information Systems, Databases, Continuous Integration, Database Design, Electronic Data Interchange (EDI), GeoServer, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, OpenShift, PostGIS, Scrum Methodology, Quantum GIS (QGIS), RemoteView, Service-Oriented Architecture, Software Engineering, SQL Databases, Systems Integration, Delivery Pipeline, Data Layers, Containerization, Kubernetes, Machine Learning Operations, Devsecops, Docker, Microservices - **Published:** July 24, 2026 - **Apply:** https://www.energyjobline.com/job/geospatial-systems-engineer-springfield-31232472 ## About the Role Proven leadership in developing and managing enterprise GIS solutions in secure environments. Advanced experience with Python, JavaScript, C++, HTML, SQL, and C#. Deep expertise in ArcGIS Enterprise, ArcGIS Pro, QGIS, GeoServer, and PostGIS/PostgreSQL. Strong understanding of RMF compliance, cybersecurity practices, and access management. Significant experience with DevSecOps, containerization (Docker/Kubernetes/OpenShift), and CI/CD pipelines. Expertise in architecting secure geospatial solutions that adhere to STIG compliance and enterprise security benchmarks. Expert-level knowledge of OGC standards and their implementation within enterprise service-oriented architectures and cloud- environments. Demonstrated ability to lead Agile teams and mentor other engineers. Familiarity with AI/ML integration and geospatial data science is highly desirable., Education: Bachelor's or Master's degree in information systems or a related field. Years of Experience: 10+ years of experience in systems administrator, engineering, and integration supporting large-scale system sustainability. 5+ years of related DoD, Military, or US Government related experience. ## Description Provide technical leadership across the software development lifecycle - from requirements gathering and system design to implementation and delivery. Guide teams in Agile/Scrum environments, supporting DevSecOps best practices and CI/CD workflows. Oversee containerization strategies and deployment pipelines using Docker, Kubernetes, and OpenShift. Lead system integration efforts with geospatial databases (PostGIS/PostgreSQL), services (ArcGIS Enterprise, QGIS, GeoServer), and COTS tools (ENVI, RemoteView, Erdas Imagine, Skyline). Design and implement advanced geospatial data pipelines including acquisition, processing, and transformation at scale. Ensure compliance with Risk Management Framework (RMF) and implement robust access control strategies. Lead the implementation of automated Static Code Analysis and Container Scanning within the CI/CD pipeline and drive the remediation of vulnerabilities to ensure spatial microservices and data layers are hardened and audit ready. Architect and implement secure, interoperable geospatial services utilizing OGC (Open Geospatial Consortium) standards (WMS, WFS, WMTS, WCS, and OGC API - Features) to ensure seamless data exchange across multi-domain DoD and Intelligence Community platforms. Support AI/ML model integration by developing data frameworks, model benchmarks, and performance metrics. Conduct and lead peer reviews, QA/QC evaluations, code validation, and database design sessions. Act as a technical liaison with stakeholders, translating mission requirements into scalable geospatial solutions. Mentor junior and mid-level developers, promoting knowledge sharing and continuous learning. 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