Application Engineer

The Application Engineer will support the development and enhancement of Arva’s cloud-based SaaS application platform, contributing to the build-out of scalable, user-friendly solutions that support sustainable agriculture analytics. This role focuses on application development with an emphasis on API implementation, data integration, and backend services using Python in an AWS cloud environment.

As an individual contributor, the Application Engineer will work closely with senior engineers, product managers, and cross-functional partners to deliver reliable, high-quality application features that integrate frontend and backend systems, process complex datasets, and support evolving business needs.

• →Develop and enhance application features that support seamless integration between frontend and backend systems
• →Build, modify, and maintain APIs to support internal services and external integrations
• →Contribute to database development using PostgreSQL, PostGIS, and NoSQL technologies to support data-driven applications
• →Assist in the development of data pipelines and ETL processes to ingest, clean, and transform large datasets
• →Support SaaS platform development initiatives aligned to product roadmaps and architectural standards
• →Implement application performance optimizations using best practices such as caching and efficient data handling
• →Develop and maintain queues and pipelines to process uploaded agricultural data efficiently
• →Participate in CI/CD workflows using tools such as GitHub and CircleCI to support automated testing and deployments
• →Collaborate with engineering, product, and operations teams to deliver intuitive, reliable user experiences
• →Participate in daily stand ups, code reviews, and technical design discussions

• 5+ years of experience in web-based application or SaaS platform development
• Hands-on experience with Python and modern web application frameworks (Django preferred)
• Experience building and consuming APIs, including integrations with third-party platforms
• Working knowledge of AWS cloud services and cloud-based application development
• Experience with PostgreSQL/PostGIS and familiarity with NoSQL data stores
• Exposure to ETL processes, data transformation, and data ingestion pipelines
• Experience with CI/CD tools and version control (GitHub, CircleCI, or similar)
• Familiarity with JavaScript frameworks
• Experience working in an Agile/Scrum environment
• Strong problem-solving skills and the ability to work collaboratively across teams
• Experience or interest in agronomy, agriculture, climate, forestry, or environmental sciences, a plus
• Exposure to geospatial data or large-scale datasets, preferred

Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva's 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 producers. 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 environmental asset 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. 

This job description reflects the core duties of the role but is not intended to be all-inclusive. The role may evolve as the company grows, requiring additional responsibilities or changes in scope.

• Be part of building something innovative and foundational in regenerative agriculture and sustainability
• Contribute to work that’s bigger than any one role and drives lasting impact across the globe
• Meaningful career growth as we scale
• 100% employer-paid health insurance premiums
• 10%–20% target annual bonus
• 401(k) contribution
• Flexible PTO
• Stock options
  
  

Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.