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Digital Twins to power Manufacturing Intelligence

QA Automation Engineer

₹5.6L – ₹8L • 0.05% – 0.1%
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We are building an AI-enabled solution to autonomously operate industries. We have a very deep AI-enabled stack starting from our own hardware to the firmware, backend, and dashboard. We are looking for a rock-star QA who can understand our stack and help us break it into pieces on a regular basis, so that our customers do not get to!

What will you be doing on a day-to-day basis?

Understand the entire hardware-software stack of our infrastructure to design ways to break our flows.
Write infrastructure code in (Jenkins, Selenium, or equivalent) to automate all testing in our platform starting right from integration testing to system-level tests involving hardware and software.
Understand user profile and behavior to come up with use journeys that will need to be automatically tested through the infrastructure.
Work with the development team to design test-cases that best test the features that we develop on a regular basis.
Come up with automated CI/CD pipelines that provide health scores of our infrastructure on a real-time basis.
Create Testing guidelines and resources for the Development Teams to adhere to, so that our infrastructure does not ever break.

Requirements

Strong background in user centric full-stack testing infrastructures.
Knowledge of CI/CD tools(Jenkins, Travis, or equivalent)
Strong knowledge of designing testing frameworks for hardware-software systems.
Strong customer-centric testing approach.
Experience in building out a QA team in other hardware-software organizations would be a big advantage.

But, you can trump any of this by being a quick learner and a hard worker. If you want to be a part of the next phase of autonomous Industries and want to work in a team of rock-stars such as yourself, allow us to take you out for coffee.

Equity benefits

Work from home policy

Company meals

SwitchOn at a glance

Digital Twins to power Manufacturing Intelligence

SwitchOn focuses on Internet of Things and Deep Learning. Their company has offices in Bengaluru. They have a small team that's between 11-50 employees. To date, SwitchOn has raised $1M of funding; their latest round was closed on June 2019.

You can view their website at http://www.switchon.io or find them on LinkedIn.

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