Senior QA Engineer, Austin, Texas

Position Summary:

SparkCognitions Renewable Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing renewable energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our platform works across multiple asset types such as wind, solar, storage and DC coupled assets to offer insights to our customers across their fleets. As a Senior Quality Assurance [QA] Engineer you will be working closely with team members across domains with deep technical skills and passion for clean energy.

Join us in:

• Creating test automation for backend and frontend tests for cloud based Asset Performance Management and Predictive Analytics platform for renewables.
• Developing and documenting test plans and test cases.
• Implementing and executing automated regression and functional tests.
• Writing and maintaining test cases in a test case repository.
• Working in an agile team environment in an onshore-offshore model.
• Reporting status/results of testing to appropriate teams.
• Mentoring team members in quality best practices.
• Verifying and validating terabyte scale data operations and workflows. Understanding user flows, documenting, testing and validating all parts of the platform.
• Work closely with delivery engineering team for successful hand-off of with detailed documentation of customer workflow and process

Youll have:

• 5+ years of hands-on experience in test/QA automation, with a solid foundation in test driven development
• Writing and executing backend test automation, performance and API testing
• Previous experience with tools like Nightwatch.js, Cypress, or Selenium
• Excellent programming skills in Python or Node along with expertise in relational databases (MSSQL/MySQL/Postgres)
• Testing complex enterprise mission-critical applications;

It would be great if you had:

• Experience in testing SaaS applications renewable energy or with IoT time series data

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