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About Arva Intelligence
Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva’s application platform was built to apply our novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for farms, ranches, and forestry. Our models predict precisely what types and amounts of nutrients, including hybrid/genetic seeds and other biological/microbial products, should be applied to improve crop land sustainability and soil health. In addition, our platform helps our customers and partners capitalize on “natural regenerative practices” by providing recommendations that improve environmental and ecological ecosystems. Platform features include practice verification and registration, as well as the sale of inset and offset credits to our corporate buyers. Thus, Arva is helping to keep the planet green by providing a “green-tech” platform that informs, measures, validates, predicts, and registers carbon exchange opportunities, allowing growers and ranchers to produce and sell credits that are bought by our corporate partners, who endorse sustainable food supply and carbon neutrality.
General Position Description
The Full Stack UI/UX Engineer will report directly to the Chief Technology Officer and will be responsible for building the organization’s next-generation analytics platform based on proven, scalable cloud-based technologies. The Full Stack UI/UX Engineer will be responsible for end to end development of UI/UX ensuring seamless integration between frontend and backend application on SaaS platform in AWS environment utilizing Python, PostgreSQL / PostGIS, extensively coding API’s as well as developing the UI/UX. It is very important that our Full Stack UI/UX Engineer have a background in UI/UX, API and ETL development on a SaaS platform in an AWS cloud-based environment utilizing Python, RESTful/Django and have PostgreSQL/PostGIS backend experience.
Primary Job Responsibilities
• Develop ease of use, self-explanatory Ui/Ux software ensuring seamless integration between the front-end and back-end application platform.
• Develop and execute SaaS software roadmaps for big-data architecture, analytic models, customer reporting, and integration capabilities to support evolving business needs.
• Optimize application performance by leveraging best practices such as caching, lazy loading, and code splitting.
• Create queues and pipelines to effectively analyze uploaded agricultural data in a timely manner.
• Work with and create databases such as PostgreSQL, PostGIS and No-SQL to develop data-driven applications that leverage large datasets.
• Work with GitHub Issues and repositories along with continuous integration (CI) tools such as CircleCI to automate the build, test, and deployment process.
• Collaborating with tech, product, operations, and executive management teams to create a data-enabled easy to use and friendly user journey.
Key Competencies / Requirements
• BS/MS degree in Computer Science and/or related work experience.
• MUST HAVE 5+ years experience in Python, Django, AWS (Docker/Kubernetes/Rancher), CircelCI and PostgreSQL, PostGIS a plus
• MUST HAVE extensive API and ETL development experience.
• 3+ years of AWS Cloud-based, SaaS platform software development experience (AWS/GCP is a plus).
• Solid experience with third-party CI applications for development operations used for data access, processing, and display.
• Strong experience coding ETL algorithms for data ingestion, data cleaning, and Machine Learning pipelines and endpoints used for upload, download, and processing of customer data.
• Solid experience with RESTful and/or Django API and other data messaging interfaces.
• Experience with transformation, normalization and processing of Agronomic data types, a plus.
• Experience with development operations using AWS or GCP cloud services.
• Ability to analyze large-scale, geo-spatial datasets using AWS Batch or other frameworks or tools.
• Ability to enable the Arva CropForce web-application for large scale real-time and batch operations as required for big-data aggregation, geo-spatial database management, and data conversions.
• Ability to implement and automate testing harnesses for all front and back-end code to accomplish the above.
Employment Eligibility
Only applicants currently eligible to work in the United States will be considered for this position.
The Pay Range For This Role Is 100,000 – 130,000 USD per year (Remote – United States)
