We are 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.
We are 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, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
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.
We are 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, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Requirements:
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.
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.
This position is open to all candidates.
