Arva Intelligence · 3 days ago

Full Stack Engineer - UI/UX

United States

Full-time

Remote

Senior Level

$100K/yr - $130K/yr

5+ years exp

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AgricultureArtificial Intelligence (AI)

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonDjangoAWSDockerKubernetesRancherPostgreSQLPostGISAPI developmentETL developmentAWS CloudSaaS platformCI/CDData processingMachine LearningRESTful APIDevelopment operationsGeo-spatial datasetsAWS BatchArva CropForceWeb-application developmentBig-data aggregationDatabase managementData conversionsTesting automationAgronomic data processing

Required

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 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.