Application Guide

How to Apply for Geospatial Software Engineer (Backend)

at Chloris Geospatial

🏢 About Chloris Geospatial

Chloris Geospatial is at the forefront of combining satellite data, AI, and carbon management to drive sustainable investments. Their mission to transform how carbon is monitored and traded globally offers a unique opportunity to work on impactful technology that directly addresses climate change.

About This Role

As a Geospatial Software Engineer (Backend), you will design and build the backend systems that deliver critical insights from satellite imagery and AI models. Your work will directly support enterprises in the voluntary carbon market, enabling them to make data-driven decisions for sustainability.

💡 A Day in the Life

Start your day with a stand-up meeting with the engineering and data science teams to align on priorities. Spend the morning designing a new API endpoint to serve carbon estimates, then pair with a data scientist to optimize a model inference pipeline. In the afternoon, review code, deploy updates to cloud infrastructure, and document your architecture for the team.

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Interview Prep

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🎯 Who Chloris Geospatial Is Looking For

  • Experienced in Python with a strong grasp of object-oriented and functional programming, having built production-grade backend systems for 4+ years.
  • Comfortable working with geospatial data (e.g., raster/vector processing, GDAL, GeoPandas) and optimizing data science code for scalability.
  • Proactive in collaborating with data scientists to integrate machine learning models into robust, cloud-native pipelines (e.g., AWS, GCP, or Azure).
  • Passionate about climate tech and carbon markets, with an ability to navigate complex, interdisciplinary challenges.

📝 Tips for Applying to Chloris Geospatial

1

Highlight any experience with geospatial libraries (e.g., Rasterio, Shapely, PostGIS) or handling large-scale Earth observation data.

2

Showcase projects where you optimized or productionized data science code, including performance improvements and deployment strategies.

3

Mention familiarity with carbon markets or environmental monitoring in your cover letter or resume to demonstrate domain interest.

4

Include links to a portfolio, GitHub, or any open-source contributions related to geospatial or backend engineering.

5

Tailor your resume to emphasize backend systems design, API development, and cloud infrastructure over frontend or mobile experience.

✉️ What to Emphasize in Your Cover Letter

['Your passion for leveraging technology to combat climate change and specifically for carbon management.', 'Concrete examples of building scalable backend systems that integrate with data science workflows.', 'Experience with geospatial data processing and how it applies to satellite imagery analysis.', 'Ability to work remotely and collaboratively with a cross-functional team of scientists and engineers.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand Chloris Geospatial's core product: how they use satellite data to measure biomass and carbon stocks.
  • → Read about the voluntary carbon market, standards like Verra or Gold Standard, and how technology impacts carbon credits.
  • → Familiarize yourself with their tech stack (likely Python, cloud services, geospatial tools) and any public case studies or blog posts.
  • → Look into competitors or partners in the geospatial carbon monitoring space to understand the market landscape.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a backend service to process satellite imagery at scale?
2 Describe your experience optimizing Python code for performance and memory efficiency.
3 Explain how you would collaborate with data scientists to deploy a machine learning model into production.
4 What are the key challenges in handling geospatial data (e.g., coordinate systems, data formats, tiling)?
5 How do you ensure reliability and fault tolerance in a cloud-based backend system?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic application that doesn't reference geospatial or carbon-related experience.
  • Overemphasizing frontend or mobile development skills without connecting them to backend or data engineering needs.
  • Neglecting to demonstrate understanding of remote work best practices and self-management.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Chloris Geospatial !

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