TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning: Seven out of the top ten global banks use TigerGraph for real-time fraud detection. Over 50 million patients receive care path recommendations to assist them on their wellness journey. 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people. As a QA engineer lead, your job responsibilities will be: Be the technical leader of the QA team and work with a team of QA engineers to maintain the quality, performance, and reliability of the database engine Build and own an efficient tooling and automation testing pipeline Driving projects and initiatives to improve the quality of the database Work with development teams to design and implement testing and testing automation for new features. Establish conventions, best practices, and processes for the team to continuously improve on quality gates
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees