Senior QA Automation Engineer

Position Summary

We are seeking a Senior QA Automation Engineer with strong expertise in Python and GIS technologies, with Utilities domain expertise, to lead quality assurance efforts for enterprise geospatial applications, data platforms, and cloud-based solutions. The ideal candidate will have extensive experience building automation frameworks, validating geospatial data, testing APIs and data pipelines, and driving quality initiatives across complex GIS environments.

Key Responsibilities

• Design, develop, and maintain scalable test automation frameworks using Python.
• Lead automation testing efforts for GIS applications, geospatial services, APIs, and data processing workflows.
• Validate spatial data, maps, layers, geoprocessing services, and GIS integrations for accuracy and performance.
• Develop automated tests for web applications, REST APIs, microservices, and enterprise GIS platforms.
• Perform functional, regression, integration, system, and end-to-end testing.
• Test and validate geospatial ETL processes and large-scale data migration activities.
• Collaborate with GIS developers, data engineers, architects, product owners, and business stakeholders to define testing strategies.
• Integrate automated test suites into CI/CD pipelines and support continuous testing practices.
• Analyze defects, perform root cause analysis, and work with development teams to resolve issues efficiently.
• Mentor junior QA engineers and promote automation best practices across teams.
• Participate in architecture reviews, release planning, and quality governance initiatives.

Required Skills & Qualifications

• 8+ years of experience in QA Automation and Software Testing.
• Strong hands-on programming experience with Python.
• Extensive experience with automation tools/frameworks such as PyTest, Selenium, Playwright, Robot Framework, or similar.
• Strong experience testing GIS applications using ArcGIS, ArcGIS Enterprise, ArcGIS Online, QGIS, or related technologies.
• Experience with geospatial data validation, spatial analysis, and GIS workflows.
• Strong knowledge of REST API testing and automation.
• Experience working with spatial databases such as PostGIS, SQL Server Spatial, Oracle Spatial, or similar.
• Proficiency in SQL, data validation, and database testing.
• Experience with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
• Strong understanding of Agile/Scrum methodologies.

Preferred Qualifications

• Experience with ArcPy, GeoPandas, GDAL, Shapely, or other GIS-related Python libraries.
• Experience with Utilities domain
• Experience testing cloud-based GIS solutions on AWS, Azure, or Google Cloud Platform.
• Knowledge of Docker, Kubernetes, and containerized environments.
• Familiarity with performance, load, and security testing.
• GIS, QA Automation, or Cloud certifications are highly desirable.