How to apply for Full-Stack Developer working with Geospatial Data

About vertify.earth

Vertify.earth uses satellite data to produce insights for nature conservation, carbon credits, and sustainable supply chains. The company operates in India and focuses on turning raw satellite imagery into decision-ready information for environmental and supply chain use cases.

About the role

This full-stack developer role centers on building software that ingests satellite data and delivers geospatial insights through both front-end and back-end systems. You will work with cross-functional teams to design and implement scalable solutions, with a specific focus on secure data transfer and user-friendly interfaces for geospatial applications.

A typical day

A typical day might involve writing React components for a map interface, building or debugging a Node.js API that serves geospatial data, and working with Python scripts to process satellite imagery. You would also coordinate with cross-functional teams to clarify requirements and ensure data transfers are secure and efficient. The exact routine depends on the team, so ask about daily standups, sprint length, and how geospatial data flows through the system.

Who vertify.earth is looking for

• Has proven experience as a full-stack developer with a focus on geospatial data, not just general web development.
• Can write production code in Python and JavaScript, and has used Leaflet for map-based interfaces.
• Has built front ends with React and back ends with Node.js, and understands how to connect them to geospatial data pipelines.
• Is familiar with geospatial libraries, tools, and protocols, and can handle the efficient and secure transfer of satellite data into a system.

Tips for this application

• In your resume or portfolio, highlight any project where you processed or displayed geospatial data. Name the specific libraries, formats, or protocols you used.
• Mention Leaflet explicitly. If you have used it, describe what you built and how it handled satellite or map data.
• Show full-stack range: include examples of React front ends and Node.js back ends, especially if they served geospatial content.
• Address data transfer security. If you have worked with satellite data ingestion, describe how you ensured efficient and secure transfer.
• Tailor your application to vertify.earth's domain. Reference carbon credits, nature conservation, or sustainable supply chains if you have any related experience or coursework.

What to cover in your cover letter

['Your hands-on experience combining full-stack development with geospatial data, using Python, JavaScript, and Leaflet.', 'A specific example of building a React front end and a Node.js back end that handled geospatial or satellite data.', 'How you approach secure and efficient transfer of satellite data into a system, with any relevant tools or protocols you have used.', 'Why you want to apply your geospatial full-stack skills to nature conservation, carbon credits, or sustainable supply chains.']

Research before applying

• Study vertify.earth's product or service pages to understand how they use satellite data for carbon credits and supply chains.
• Look for any public technical blog posts, GitHub repositories, or documentation from vertify.earth about their geospatial stack.
• Research common satellite data formats and transfer protocols used in conservation and carbon credit projects.
• Check the company's location in India and any public information about their team structure or development practices.

Likely interview topics

Based on the job description, expect questions about:

• How you would design a full-stack pipeline to ingest satellite data, store it, and serve it to a Leaflet map in React.
• Your experience with geospatial libraries, tools, and protocols, and which ones you would choose for a given problem.
• How you ensure secure and efficient transfer of large satellite data files into a backend system.
• A walkthrough of a past project where you built both front-end and back-end components for geospatial data.
• How you would collaborate with cross-functional teams to translate business requirements into geospatial software features.

Common mistakes to avoid

• Applying as a general full-stack developer without mentioning geospatial data, Leaflet, or satellite data experience.
• Listing Python, JavaScript, React, and Node.js without showing how you used them together on a geospatial project.
• Ignoring the company's focus on conservation and carbon credits, which may signal a lack of interest in the domain.