Geospatial Software Engineer – Backend

Chloris Geospatial; Boston (MA); On-site; USD 110,000 - 160,000; Full time

Job summary

Chloris Geospatial is seeking a Geospatial Software Engineer (Backend) to design, test, and implement backend services that deliver its nature-based data insights. You will work closely with the data science team to deploy code to production and ensure robust production-grade software.

The ideal candidate has 4+ years in software engineering, strong Python skills, and familiarity with OO/FP paradigms. A hybrid work setup in Boston, MA is preferred, with quarterly in-person collaboration and a

Qualifications

• Bachelor's degree in Computer Science, or related field, or equivalent work experience.
• 4+ years of professional software engineering experience.
• 4+ years of experience with Python or similar language.
• Understanding of Object Oriented and Functional Programming paradigms.
• Independent and self-motivated with excellent problem-solving, analytical, and communication skills.

Responsibilities

• Design, test, and build the backend software which delivers Chloris Geospatial’s unique insights.
• Work closely with data scientists to optimize and integrate their code in order to bring it to production.

Skills

Python

Backend development

Software engineering

OO & FP concepts

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

AWS: Lambda, S3, DynamoDB

Geospatial tools: GDAL, Geopandas, Rasterio, Xarray

Job description

About the role

We are looking for a talented Geospatial Software Engineer (Backend) to support the deployment of Chloris’ innovative technology by enterprises active in the voluntary carbon markets.

We are looking for someone who:

• Is a motivated software engineer with an eye for details and looking to join a team of experienced and innovative individuals


• Will work closely with the data science team to bring their code to production


• Is passionate about building and testing software products


• Is excited about the opportunity to join a mission-oriented and high-potential start-up, anchored in pioneering science and focused on delivering best-in-class data and technology for nature-based solutions

The Geospatial Software Engineer (Backend) will report to the Engineer Manager and will work closely with the Data Science team.

Responsibilities

Design, test, and build the backend software which delivers Chloris Geospatial’s unique insights. Work closely with data scientists to optimize and integrate their code in order to bring it to production.

Qualifications

• Bachelor's degree in Computer Science, or related field, or equivalent work experience


• 4+ years of professional software engineering experience


• 4+ years of experience with Python or similar language


• Understanding of Object Oriented and Functional Programming paradigms


• Independent and self-motivated with excellent problem-solving, analytical, and communication skills

Ideal candidates will have

• Experience with AWS services such as Lambda, S3, and DynamoDB


• Experience with Open Source Geospatial tools such as GDAL, Geopandas, Rasterio, Xarray, etc

Location + Time Commitment

This is a full-time position. Location is flexible with a preference for locations allowing hybrid work in Boston, MA. Chloris is a hybrid-first company with a transatlantic team based throughout Western Europe and the United States, concentrated near our Boston headquarters. We are committed to providing a hybrid work environment that allows for in-person and on-site collaboration at quarterly all-hands retreats, in addition to allowing for the benefits that come from flexible, work-from-anywhere arrangements.

About us

Chloris Geospatial is a venture-backed technology company operating at the intersection of space-tech and nature-tech. Our mission is to accelerate the global transition to a net-zero and nature-positive economy with the most reliable, trustworthy, and transparent natural capital data.

Today we use industry-leading technology to measure the amount of carbon stored in terrestrial ecosystems. Our state-of-the‑art machine learning algorithms fuse data from multiple Earth observation satellites to provide accurate and scalable measurements of the carbon stocks and change in woody vegetation (forests, shrubs, and mangroves) anywhere in the world. Our team has deep expertise in remote sensing, AI & ML, ecology, and sustainable business.

We are also proud to be an equal‑opportunity employer that values diversity. We are excited to build a diverse and inclusive team and we encourage inquiries from talented and motivated applicants from all races, religions, colors, nationalities, genders, sexual orientations, ages, and disability groups. Come join us and help us build the future!