Senior Geospatial Systems Architect & Integrator

Drone.vet

Springfield (MO)

On-site

USD 162,000 - 219,000

Full time

33 hours ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

GDIT is seeking a Senior Geospatial Systems Software Engineer to lead integration and architecture for geospatial and intelligence platforms in Springfield, VA. You will mentor teams, drive secure CI/CD, and oversee multi-domain data pipelines with RMF compliance.

The role requires 10+ years in secure GIS/DoW environments, expertise in ArcGIS, PostGIS, containerization, and strong leadership skills for Agile teams. Onsite work with potential WFH days supports mission-ready delivery.

Qualifications

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-native environments.
Demonstrated ability to lead Agile teams and mentor other engineers.
Familiarity with AI/ML integration and geospatial data science is highly desirable.

Responsibilities

Architect, develop, and optimize enterprise-grade GIS applications and solutions.
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 standards (WMS, WFS, WMTS, WCS, and OGC API – Features) to ensure seamless data exchange across multi-domain DoW 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.
Stay current on emerging geospatial, AI, and cloud technologies to influence strategic decisions.