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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.\nWe 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!!\nCompetencies: 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)\nWhat you’ll get to do at Level AI (and more as we grow together):\n Define, develop and implement test requirements for data pipelines and product features.\nProduct and data expert with deep understanding of all user scenarios.\nWork cross-functionally with developers to gather input on test scenarios.\nAssess overall product quality and define a strategy to deliver high-quality features.\nDevelop new automated tests and set up automation testing frameworks to reduce the time to release product features.\nDeveloping a framework to do load and stress testing of features.\nPlan, execute, monitor, and validate testing processes.\nSupporting manual functional testing, such as creating and executing test cases when required.\nDeveloping new builds and release pipelines for automation testing.\nCorrecting build errors and maintaining formal release records to track release content.\nWe'd love to explore more about you if you have\n2 to 4 years of experience\nExperience with generative AI for test case design and automation script scaffolding.\nFamiliarity with data-driven and model-based testing approaches.\nExposure to observability and monitoring tools (Datadog, Grafana, ELK, OpenTelemetry) for proactive defect detection.\nStrong debugging skills\nExtensive experience in thorough testing of new data pipelines and complexities tailored to individual customer needs.\nExperience with Web application standards and APIs. 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