DApp360 Workforce Jobs

Job Type: Fulltime Job Location: Remote QUALIFICATIONS:

Experience developing and optimizing algorithms.

Extensive programming experience in Python and Javascript using best practices;

Demonstrated ability to independently craft and document scientific code;

Ability to write documentation for non-technical audiences;

Comfortable working with the python geospatial stack, including GDAL, shapely, Rasterio, Geopandas, PySAL, rasterstats, etc.;

Familiarity with geospatial data structures and algorithms and OGC standard protocols (EX. COGs, STACs);

Familiarity with current remote sensing platforms (Landsat, Sentinel, Planet) and data delivery systems (EarthExplorer, Google Earth Engine, SentinelHub, S3);

Basic proficiency using desktop software (e.g. QGIS) or web GIS software;

Excellent English oral, written, and interpersonal communication skills.

Experience constructing end-to-end user-facing data delivery systems (EX. REST APIs, web-based mapping, programmatic APIs);

Experience with onloading data to IPFS, Filecoin, and other decentralized "Web 3 systems;

Experience conducting or contributing to GIS and Remote Sensing research projects;

Experience with remote sensing for publicly funded agencies (EX. NGA, NASA, USGS, IARPA, FEMA). PREFRENCES:

Exposure and willingness to learn Go, Solidity, Rust, etc., as required to complete job requirements;

Ability to incorporate diverse development tools and environments, such as Docker, Docker Compose, reverse proxies (Nginx, Traefix, etc), Git, Github, NPM, Poetry, AWS (S3, DynamoDB, EC2, Snowball, Lambda), Jupyter Notebooks, Linux;

Knowledge of Web 3 systems and P2P networking;

Interest in EVM Blockchains and exploring blockchain-related technical research;

Previous contributions to advancing data equity and access;

History of open source software development, including successfully distributing and packaging scientific and non-scientific software systems.