SDET 2 - Platform

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role As an SDET 2 at AiDASH , you will own the quality of the AI-powered applications behind our offerings. You will understand application requirements and architecture, then build test strategies that cover both functional behaviour and performance. Your work will include API automation using Java and RestAssured , data validation, performance testing with tools like JMeter, and monitoring application health after release. Success means shipping reliable, high-performing applications that help our teams deliver faster. How you'll make an impact: Requirements understanding & test strategy Understand requirements, design, and architecture of Platform applications and data-processing solutions that power most AiDASH applications. Coverage & test design Analyze functional and non-functional requirements from a coverage and impact perspective. Design effective, efficient test cases and trace them to acceptance criteria. API & framework automation Write robust, maintainable API automation in Java using rest-assured, plus supporting tools/scripts that improve test efficiency. Contribute to automation framework enhancements driven by project needs. Data validation across the stack Perform data validation across APIs, databases (Postgres, MongoDB), and outputs of data-processing solutions. Cross-layer debugging Debug issues across application and infrastructure layers — not only API or UI (services, queues, DBs, K8s, AWS, pipeline outputs). Performance testing Conduct performance testing and benchmarking using tools such as JMeter. Test data & context switching Prepare test data for QA validations by coordinating across teams and ramping quickly across contexts. CI/CD & reporting Build and maintain automation pipelines with Jenkins (or equivalent) and report with Allure. <span data-ccp-props="{"134233117":false,"134233118":false,"3355