2 months ago
Delhi, IndiaMid Level
Responsibilities
- Develop test plans, test cases, and test code; verify code changes and bug fixes.
- Analyze test results and report software quality and stability status.
- Test and certify software, SDKs, and AI models.
- Troubleshoot and triage customer issues and analyze user feedback.
- Collaborate with data scientists and engineers on testing, documentation, and release of geospatial AI tools, APIs, and pretrained models.
- Develop pretrained geospatial AI models for imagery, 3D datasets, and text.
- Create samples, tutorials, documentation, blog posts, and presentations, and teach technical tasks.
Requirements
- At least 2 years of industry experience in software development or QA, preferably in product-based or geospatial consulting companies.
- Hands-on experience with QA processes, test plans, test automation, and product certification.
- Proficiency in Python, Jupyter notebooks, GIS libraries such as GDAL, Rasterio, or ArcPy, and/or testing frameworks such as Pytest.
- Familiarity with GIS concepts, spatial data, and geospatial workflows.
- Basic understanding of machine learning and deep learning workflows.
- Technical writing experience, including samples, blog posts, and product documentation.
- Bachelor’s degree in GIS, geography, engineering, computer science, mathematics, or a related field.
- Existing work authorization for India.
- Preferred: master’s degree in a related field, strong software QA knowledge, Agile/Scrum experience, ArcGIS or open-source GIS experience, and experience with remote sensing, satellite imagery, and multispectral image analysis.
About Esri
Esri develops the ArcGIS geographic information system platform for mapping, spatial analytics, and location intelligence used by governments, utilities, transportation, natural resources, and commercial enterprises. The privately held company, founded in 1969 and headquartered in Redlands, California, monetizes through software licenses and subscriptions, cloud services, data, training, and consulting. Its tools power web and mobile mapping, geospatial APIs, and enterprise systems for planning, operations, and emergency management worldwide.