Overview:
Agriculture to AgTech
Designing data solutions that leverage open source and cloud-based solutions within this enterprise initiative and you will work with multiple teams across the organization (i.e. cloud analytics, data architects, business groups). Building of large-scale data processing systems and API’s. Turning information into insights using multiple platforms...
Implementing complex projects with a focus on collecting, parsing, managing, analyzing, and making available large sets of data to turn information into insights using multiple platforms. Developing prototypes &PoC’s for the selected solutions. You will play a critical role in driving the engineering and building of Geospatial Data Assets to support this Digital Farming Platform and R&D product pipeline initiative.
Experience Required:
•Software engineering experience with programming languages like Go, Python, or Java
•Capable of building highly scalable API’s and associative architecture to support thousands of requests per second
•Passion for building tools to improve CI/CD patterns for multiple development teams that are consistent with security and DevOps best practices. Example: GitOps workflows
•Experience working with large geospatial data sets applying GDAL and similar spatial libraries
•Demonstrated knowledge of agriculture and/or agriculture-oriented businesses
Bonus | Nice to Have:
•Experience with creating Kubernetes operators using Kubebuilder or Operator SDK
•Experience with Argo CD / Flux / Argo Workflows
•Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present.
• Knowledge of open-source geospatial solutions like GeoServer, GeoTrellis, GeoMesa
*This role would allow you to work from anywhere in the United States. You would join a distributed team located throughout the country in a remote capacity.*