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Levelai
Levelai

Noida

SDET (Noida, India)

Full-timeHybridPosted Sep 24, 2025

Job Description

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.   We are a fast-growing startup looking for a top-notch QA Engineer for the Noida Location with a proven track record of building test automation for an enterprise product. You will be at the core of every new feature, every product decision, and every touchpoint of our users. You will directly work with a small, experienced team of technologists to identify and solve a new set of problems. Our team is composed of leaders from Amazon Alexa, Zoho, Facebook, and other tech companies. If you are a problem solver and enjoy thinking creatively, you would love to be on this team!!   Competencies: Python/Java, Selenium, Cucumber, Rest Assured,  Postman, JMeter, Jenkins, Load Testing, Regression Testing, Database Testing (SQL, MongoDB), Performance Testing, Automation Testing (Required Strong experience), Manual Testing, Familiarity with AI-powered testing platforms (e.g.,  Testim, Mabl, Cursor, Copilot, ChatGPT for test case generation)

What this role uses daily

The skills this role uses day to day.

PythonJavaSeleniumCucumberREST AssuredPostmanJMeterJenkinsTest AutomationLoad TestingRegression TestingPerformance TestingManual TestingSQLMongoDBTestim

About the Company

Levelai

Levelai

Level AI is a Series C startup founded in 2019 and headquartered in Mountain View, California, that offers an AI-native platform using Large Language Models to extract insights from customer interactions in contact centres.

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