Database QA Automation Engineer

linux kVAST Data is looking for a Database QA Automation Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is at the center of the revolution in artificial intelligence. "VAST's data management vision is the future of the market." - Forbes VAST Data is the data platform company for the AI era. We are building enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets, making them available for real-time data analysis and AI training and inference. Designed from the ground up to simplify AI deployment and management, VAST reduces the cost and complexity of deploying enterprise and AI infrastructure across data centers, edge, and cloud. Our success is built through innovation, a customer-first mentality, and a team of fearless VASTronauts leveraging their skills and experiences to make a market impact. This is a key opportunity to contribute at a pivotal time in our company’s growth and in computing history. Requirements Desired Skills & Experience: At least 3-4 years of experience in developing product testing, manufacturing, and automation tools. Python experience is a big advantage. Experience with Linux & shell scripting: Python, bash is an advantage. Experience analyzing large and diverse systems, understanding QA processes and procedures. Background in developing test automation infrastructure and/or automating tests on Linux and Windows servers. Experience in testing databases is mandatory . Experience with AWS/GCP Cloud, Virtualization, and containerization infrastructures is an advantage . A deep understanding of computer systems / operating systems (Unix, Linux, Windows) is mandatory. Demonstrated testing experience (Test Definition & Execution) in Integration, Performance, and Stress testing. Knowledge of NAS File Systems, Block-level Storage, Databases, and storage networking protocols is an advantage. B.Sc./B.A. degree in computer science, engineering, or related discipline is an advantage. Passion for testing, self-learning, and being highly organized . #J-18808-Ljbffr