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Chloris Geospatial

Geospatial Software Engineer – Backend

Chloris Geospatial

Geospatial Software Engineer developing backend solutions for Chloris Geospatial's innovative technology in carbon markets. Collaborating with data scientists to optimize software for production.

Posted 7/20/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in backend software design and development, with a strong focus on Python programming and integration of geospatial tools. Demonstrates expertise in AWS services and a solid understanding of programming paradigms to deliver data-driven insights.

Highest-signal resume keywords
Python ProgrammingAWS ServicesGeospatial ToolsObject Oriented ProgrammingFunctional Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringBackend DevelopmentProblem SolvingAnalytical SkillsGeospatial Analysis
Soft Skills
Communication SkillsSelf-MotivatedIndependent Work
Tools & Technologies
AWS LambdaAWS S3AWS DynamoDBGDALGeopandasRasterioXarray
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
Geospatial InsightsData IntegrationOpen Source Tools

Tech Stack

Tools & technologies
AWSDynamoDBOpen SourcePython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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
  • Experience with AWS services such as Lambda, S3, and DynamoDB
  • Experience with Open Source Geospatial tools such as GDAL, Geopandas, Rasterio, Xarray, etc

Benefits

Comp & perks
  • hybrid work environment
  • in-person collaboration
  • quarterly all-hands retreats