Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Print Category 1
Print Category 2

Geospatial Software Engineer

  • Full Time
  • Anywhere

Terra Global Capital

Job detailsJob TypeFull-timeRemoteIndeed’s salary guideNot provided by employer$103K – $130K a year is Indeed’s estimated salary for this role in Remote.Report inaccurate salaryFull Job Description


Full time for Short-term, Consultancy (estimated 3-6 months)


Remote (work from home in North American time zone)

Position Responsibilities

This assignment will enhance the Terra Globals proprietary GIS and Remote Sensing Terralytics software platform which is used to perform land-use change analysis and GHG quantification. Geospatial monitoring and land-use change analysis is at the core of our daily operations and used to verify emission reductions/removals and monitor in near real-time the performance of Terra Globals projects around the world.
The assignment will be responsible for producing the following deliverables:

Rewrite TerraChange MATLAB code in Python that is used to spatially predict land-use change for deforestation, degradation, reforestation, and enhancements based on historical land-use change maps, spatial and other data.
Enhance TerraChange functionality to produce table and map outputs including a land use risk maps over predictive period
Add a back testing feature to measure the accuracy of land use change predictions
Add functionality to apply non-static data for predictions
Upgrading and maintaining Python code with machine learning image classification and post processing of classified images
Upgrading tools that are used by local partners to acquire training data
Ensure that our Terralytics platform can maximize open-source imagery, private imagery, Radar/LiDAR, and other forms of data to perform GHG quantification that will undergo Third-party audits and support near real-time monitoring
Enhance Terralytics nested activity manager, a web-based and mobile system for field-based monitoring
Maintain code on GitHub and leverage AWS platform for delivery
Work with GHG technical and NBS portfolio management teams to support on-going requirements to leverage RS and GIS analysis to manage projects and monitor performance.

Essential Skills and Qualifications

A minimum of 6-8 years of progressive, relevant GIS/IT experience in applications that involve forestry, agriculture and/or land-use change analysis in developing countries. Bachelors or Masters degree in Computer Science, Geography, Information Technology or related field. Proven experience developing software that uses large sets of historical remote imagery, machine learning algorithms and statistical modeling.
The candidates required skills are:

Technical Skills

Possess senior-level geospatial software engineer experience and technical skills in scripting, GIS, IT, geo-database design, spatial relationships, and statistics.
Fluency in Python, including GDAL and Statsmodels packages, and MATLAB.
Fluency with public cloud services (AWS) and CI/CD tools.
Fluency in machine learning packages including Orange.
Write clean, well-tested code to enable ingest, storage, retrieval, and transformation of large-scale geospatial data for analysis, research, and model development.
Proficient with the ESRI ArcGIS platform including ArcMap and QGIS.
Knowledge of open-source geospatial solutions.

Other Skills

Knowledge in applied natural sciences such as forestry, ecology, and natural resources.
Able to apply business knowledge to develop and deliver innovative, beneficial improvements
Excellent oral and written communication skills, skilled in communicating technical topics to non-technical audiences.
Excellent collaboration skills in working together with others

Interested candidates please apply here:…

Hiring InsightsJob activityPosted 30+ days ago

Tagged as: