Senior Geospatial Systems Software Engineer

teKnoluxion•Springfield, VA

8h•Onsite

About The Position

BCore is seeking a Senior Geospatial Systems Software Engineer to support the NGA customer missions. This role involves architecting, developing, and optimizing enterprise-grade GIS applications and solutions within secure government environments. The engineer will provide technical leadership throughout the software development lifecycle, guide teams in Agile/Scrum environments with DevSecOps best practices, and oversee containerization strategies. The position requires leading system integration with geospatial databases and services, designing advanced geospatial data pipelines, and ensuring compliance with Risk Management Framework (RMF). A key aspect of the role is architecting and implementing secure, interoperable geospatial services using OGC standards and supporting AI/ML model integration. The engineer will also conduct peer reviews, act as a technical liaison with stakeholders, mentor junior developers, and stay current on emerging technologies.

Requirements

Active TS clearance (with SCI Eligibility) and eligibility to obtain CI Poly
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
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.

Nice To Haves

Intelligence Community Experience preferred
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 (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.
Stay current on emerging geospatial, AI, and cloud technologies to influence strategic decisions.