Participate in the full Software Development Life Cycle for the development of innovative software systems for use by Department of Defense (DoD) customers.
Be part of a distributed development team operating in a dynamic, agile, fast-paced environment.
Participate in all phases of the software engineering process including research, design, development, integration, deployment, and testing.
Support development and integration activities for curating synthetic data to be utilized in simulation applications, consisting of geospatial data in raster formats.
Requirements
Bachelor’s Degree in Computer Science, Math, Engineering, or related field
5+ years of formal work-related experience with software engineering
Secret Security Clearance
Experience with C++ and Python software development
Experience with software architecture, design, implementation, testing, and integration
Experience with object-oriented software design and development
Experience with full life cycle software development
Experience with Test-Driven Development methodologies and tools (e.g., Junit, Pytest)
Experience operating in a DevSecOps environment with CI/CD pipelines
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience operating with Agile development processes and tools (e.g., Scrum, JIRA)
Experience with Linux operating systems
Experience with manipulating large data sets with Numpy, Pandas, Rasterio, SciPy
Experience with performance testing, scalability mechanism, and system tuning
Strong written & verbal communication skills, including technical writing and presentations
Experience with geospatial data and raster formats, including GRIB, NetCDF, and Geotiff
Experience working with weather-related systems and data