Senior Geospatial Software Engineer with AWS & ArcGIS

Core4ce

Springfield (VA)

On-site

USD 120,000 - 155,000

Full time

3 days ago
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Benefits offered by this job

401(k) with company match
Medical, dental, vision
Professional development
Tuition assistance
Parental leave
Paid time off
Holiday schedule
Innovation program

Job summary

Core4ce seeks a Senior Software Developer to advance geospatial software tools and cloud deployment for complex scientific applications. You will optimize MATLAB/Python pipelines and build scalable GIS solutions using OpenLayers, QGIS, GeoServer, and PostgreSQL/PostGIS in AWS.

You will collaborate with scientists, GIS specialists, and cloud engineers to turn research into deployable software, while ensuring code quality and performance across the full stack.

Qualifications

  • Master's degree in Computer Science, Software Engineering, Programming, or related technical discipline with 13 years of relevant experience, or Bachelor's degree with 15 years of relevant experience.
  • Active TS-SCI with ability to obtain a CI Poly.
  • Strong experience developing software across the full application stack, including databases, APIs, and web applications.
  • Demonstrated experience with geospatial software, methods, and datasets, including ESRI/ArcGIS technologies.
  • Deep technical understanding of ESRI data structures, with experience using ArcGIS Pro and preferably ESRI C# back-end bindings.
  • Experience with PostgreSQL/PostGIS, OpenLayers, QGIS, and/or GeoServer.
  • Experience optimizing MATLAB and/or Python scientific code for performance and computational efficiency.
  • Experience with Docker, AWS, and cloud-based application deployment.
  • Experience with software testing, verification and validation, requirements traceability, and Agile development methodologies.

Responsibilities

  • Develop new features and infrastructure across the database, API, and web tiers to support project requirements.
  • Optimize scientific code written in MATLAB and Python for computational efficiency while maintaining scientific accuracy and performance.
  • Develop and deploy geospatial applications using technologies such as PostgreSQL/PostGIS, OpenLayers, QGIS, and GeoServer.
  • Apply advanced knowledge of ESRI/ArcGIS data structures, including development with ArcGIS Pro and ESRI C# back-end bindings to programmatically integrate data into desktop applications.
  • Support development and integration with ESRI cloud and web-based applications.
  • Develop, inspect, test, verify, and validate software throughout the development lifecycle.
  • Build and deploy containerized applications using Docker and AWS in collaboration with cloud engineering SMEs.
  • Implement software development, maintenance, and Agile development processes.
  • Review software designs, requirements, change specifications, and implementation plans for technical and contractual compliance.
  • Ensure software requirements are properly allocated, traceable, testable, and aligned with project objectives.
  • Develop and maintain technical and project documentation supporting software development and delivery.
  • Collaborate with scientists, software developers, GIS specialists, and cloud engineers to transition research capabilities into operational environments.

Skills

TS-SCI
Full stack
Geospatial software
ArcGIS / ESRI
PostgreSQL/PostGIS
OpenLayers
QGIS
GeoServer
ArcGIS Pro
ESRI C# bindings
MATLAB
Python
Docker
AWS
Testing & V&V

Education

Master's degree
Bachelor's degree

Tools

ArcGIS Pro
ESRI C# bindings
OpenLayers
GeoServer
PostGIS
QGIS
Docker
AWS
MATLAB
Python
PostgreSQL

Job description

Core4ce seeks a Senior Software Developer to advance geospatial software tools and cloud deployment for complex scientific applications. You will optimize MATLAB/Python pipelines and build scalable GIS solutions using OpenLayers, QGIS, GeoServer, and PostgreSQL/PostGIS in AWS.

You will collaborate with scientists, GIS specialists, and cloud engineers to turn research into deployable software, while ensuring code quality and performance across the full stack.

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