Geospatial Systems Software Engineer, Senior

General Dynamics

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Springfield, VA
Salary: $162,037–$219,227 / yr
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k

This role $191k

$108k $231k

below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $148,240–$180,250 — the blue band above. At the midpoint, this role pays about $191k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

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At a glance

TL;DR · Geospatial Systems Software Engineer, Senior

Role Posting Log in to save

JOB TITLE: Geospatial Systems Software Engineer, Senior The Senior Geospatial Systems Software Engineer joins the software engineering team to lead the design, development, and optimization of enterprise-grade GIS applications. This role involves architecting secure, scalable solutions for complex multi-domain DoD environments, translating operational requirements into forward-looking architectures. Key responsibilities include leading integration efforts, mentoring technical teams in Agile environments, and overseeing containerization strategies. The engineer will utilize Python, JavaScript, C++, HTML, SQL, and C# alongside tools like Docker, Kubernetes, OpenShift, and ArcGIS Enterprise. Technical tasks involve managing PostGIS/PostgreSQL databases, implementing OGC standards, and building data pipelines for AI/ML model integration. The role specifically addresses Army modernization and convergence efforts by ensuring RMF compliance and hardening spatial microservices within secure intelligence platforms.

Skills

Python JavaScript C++ SQL HTML PostgreSQL PostGIS ArcGIS Enterprise ArcGIS Pro QGIS GeoServer Docker Kubernetes OpenShift CI/CD DevSecOps OGC Standards RMF AI/ML ENVI RemoteView Erdas Imagine Skyline

What you'll do

Architect, develop, and optimize enterprise-grade GIS applications and solutions.
Lead the design and integration of advanced geospatial and intelligence platforms.
Oversee containerization strategies and deployment pipelines using Docker, Kubernetes, and OpenShift.
Lead system integration with geospatial databases, services, and COTS tools.
Design and implement advanced geospatial data pipelines for large-scale acquisition and processing.
Ensure RMF compliance and implement robust access control and security hardening.
Architect secure geospatial services utilizing OGC standards for multi-domain data exchange.
Support AI/ML model integration by developing data frameworks and performance metrics.

What we're looking for

Must possess an active Top Secret/SCI security clearance.
Must be a U.S. Citizen.
Bachelor's or Master's degree in information systems or a related field.
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.
Advanced experience with Python, JavaScript, C++, HTML, SQL, and C#.
Deep expertise in ArcGIS Enterprise, ArcGIS Pro, QGIS, GeoServer, and PostGIS/PostgreSQL.
Significant experience with DevSecOps, containerization (Docker, Kubernetes, OpenShift), and CI/CD pipelines.
Expertise in architecting secure geospatial solutions adhering to STIG compliance and OGC standards.
Proven leadership in developing enterprise GIS solutions and mentoring engineers in Agile environments.
Familiarity with AI/ML integration and geospatial data science (preferred).

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