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Database QA Automation Engineer - Toronto

Job Description - Database QA Automation Engineer - Toronto

VAST Data is looking for a 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.

"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 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.

Key Responsibilities

 Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).

Work closely with developers to create and maintain a state of the art system tests

 Define, develop and execute testing plans with deep system knowledge and understanding.  

Desired Skills & Experience  

 At least 2 years’ experience in development of product testing, manufacturing, automation tools. Python is a big advantage. 

Knowledge in database to write complex SQL queries and validate data integrity is a big advantage.

Knowledge in columnar data tools like Trino, Apache Spark, and DuckDB is a big advantage.

 Knowledge of File Systems (NAS) / Block-level Storage / storage networking protocols.

 Experience with Linux & shell scripting: python, bash. - an advantage

Experience in analyzing large and diverse systems, understanding of QA processes and procedures.

Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers.

Deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must

Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress.

 B.Sc./B.A. degree in computer science, engineering or related discipline – an advantage

Advantage

 Experience with virtualization, cloud, networking, or storage technologies

 Experience with tools like Jenkins and Git

 Good networking knowledge and experience with storage technologies

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