Amazon Web Services (AWS), Artificial Intelligence (AI), Automation Engineering, Bash Scripting, Cloud Computing, Computer Science, Computer Systems, Data Analysis, Data Management, Data Sets, Database Programming, Enterprise Applications, File Systems, GCP (Good Clinical Practices), Linux Operating System, Manufacturing Automation, Microsoft Windows Operating System, Microsoft Windows Server, Network Attached Storage (NAS), Network Operations Center, Network Protocols, Operating Systems, Organizational Skills, Product Development, Product Testing, Python Programming/Scripting Language, Quality Assurance Methodology, Test Automation, Testing, Tool and Die Manufacturing, Unix Operating Systems, Unix Shell Programming, Virtualization
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 in the center of the hurricane being created by the revolution in artificial intelligence.
"VASTs data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
Requirements
Desired Skills & Experience:
- At least 3-4 years experience in development of product testing, manufacturing, automation tools. Python is a big advantage.
- Experience with Linux & shell scripting: Python, bash. - an advantage
- Experience in analyzing large and diverse systems, understanding QA processes and procedures.
- Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers.
- Experience in testing databases - must
- Experience with AWS/GCP Cloud, Virtualization, and containerization infrastructures - Advantage
- A deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must
- Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress.
- Knowledge of File Systems (NAS) / Block-level Storage / Databases / storage networking protocols – Advantage
- B.Sc./B.A. degree in computer science, engineering, or related discipline – an advantage
- Passion in testing, self-learner, and highly organized