OVERVIEW
Seeking a talented and motivated Full Stack Software Engineer that is passionate about our customer’s mission to join our team! This Full Stack Developer will work as part of an agile software development team to design and deploy a autmated, cloud-based, scalable quality assurance capability for a US Government geospatial program. This hybrid cloud-based and stand-alone architecture will support delivery of high-quality geospatial data for NGA and partner mission users by employing the latest cloud-based and data automation technologies.
The candidate will be responsible for researching, developing, implementing, testing and integrating solutions. The candidate must be self-starting, able to work well within a team environment and motivated to deliver innovative capabilities that directly impact national security.
GENERAL DUTIES
- Support infrastructure platform team in high performance computing environment
- Manage, optimize and improve the product
- Implement the feature functionality fo the product, using full stack development
- Maintaining and improving the performance of existing code
- Rapidly prototype new methods for processing and exploiting data
- Design and implement automated testing procedures in an enviroment of continuous integration and delivery to the client
- Research and communicate state-of-art methods from industry, academia, and government
REQUIRED QUALIFICATIONS
- Bachelor’s Degree in Computer Science, Engineering, Applied Mathematics, or related field
- 3+ years of related experience in:
- Agile-based Full Stack development
- Experience with Python 3, JavaScript (React), Shell Script
- Recent experience with Web Services, Database and micro-service development
- Experience with agile and lean philosophies
- Experience with Continuous Delivery and Continuous Integration (CI/CD) techniques
- Experience with test-driven development and automated testing practices
- Experience with open-source Geosptatial Information Service tools and libraries such as GeoPandas, QGIS, and Post GIS
- Use of and development with at least one common geospatial tools dataset and operating platform such as:
- Tools - Boundless Patial suite, Remote View, PostgreSQL
- Other geospatial databases - QGIS, ArcGIS Desktop, ArcGIS Server, Image Server, and File Geodatabases
- Data formats including GDB, SHP, GEOJSON, and similar geo-related formats
- Proprietary tool languages like ArcPy
- Development of customized code, scripts, modules, macro procedures and libraries to implement specialized spatial functions usign Python3 and SQL
- Query and management skills with geospatial and non-geospatial PostgreSQL, PostGIS and SQL databases
- Experience with the configuration and use of DevOps tools; PCF and YAML files
- Experience with Git workflows
- Containerization (Docker, Linux containers, Jails)
- Basic experience with GIS software packages
CLEARANCE
