Product Engineer - Geospatial Data Science

Full time

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Responsibilities

Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality
Review and analyse test results; report status on software quality and stability; test and certify software, SDK, and AI model quality
Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement
Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI
Develop samples, tutorials, documentation, blog posts and presentation of product features
Develop pre-trained geospatial AI models for imagery, 3D datasets and text

Qualification & Experience

2 to 8 years of industry experience in a software development or QA environment, preferably in product-based or geospatial consulting companies
Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification
Proficiency in Python and Jupyter notebooks, GIS libraries like GDAL/Rasterio or ArcPy, and/or testing frameworks like Pytest
Familiarity with GIS concepts, spatial data, and geospatial workflows
Basic understanding of machine learning and deep learning workflows
Effective project management, time management, and organizational skills
Technical writing skills and experience authoring samples, blog posts, and product documentation
Bachelor's in GIS, geography, engineering, computer science, math, or related fields
Existing work authorization for India
Recommended Qualifications
Master's in GIS, geography, engineering, computer science, math, or related fields
Strong knowledge of software QA methodologies, tools, and processes
Experience working in an Agile/Scrum development process
Hands-on experience with the ArcGIS suite of products or open-source GIS software
Experience with remote sensing, satellite imagery, and multispectral image analysis