Role and Responsibilities:
As a lead QA engineer, you will establish, implement and evolve the formal QA process to ensure high-quality the inhouse designed and developed driver monitoring and assistance technology. You will
Drive the change to cater the needs of huge global customer-base by delivering the state of the art tech solutions at scale.
Design and develop the testing infrastructure, i.e., tools, frame works and reporting mechanisms.
Review design documents and collaborate with developers to come up with detailed test plans.
Test software to be deployed across IoT devices and AWS/Azure environments.
Test data platforms as well as the machine learning models built on the platform.
Test driver monitoring and driver assistance algorithms; and report KPIs.
Conduct various types of testing (manual tests, unit tests, functional tests, integration tests).
Requirements:
BE / B. Tech, M.E / M. Tech with at least 6 years of SW QA experience.
Detail oriented, analytical, and creative thinker with passion for quality.
Excellent programming skills – Python (required) and C++, Shell Scripting (desired).
Experience with build and continuous integration systems.
Experience executing and contributing to automation infrastructure.
Experience with databases (SQL/NoSQL) and AWS environment.
Good Interpersonal communication skills.
Flexible and can-do approach. Ability to adjust to changing priorities.
Desired Skills:
Hands-on testing on devices is a plus.
Experience in a CI/CD setup is big plus
Experience with performance/load testing is a plus.
Experience testing rest APIs and micro services is a plus.
Experience with leading/guiding a small team of QA engineers is a plus.
Experience in applying statistical concepts to validate and QA data and models is a plus.
Experience with Machine Learning, Computer Vision and Image/Video Processing is a plus.
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