Why This Job is Featured on The SaaS Jobs
This SDET role sits in a modern SaaS setting where product quality is tightly coupled to cloud delivery, frequent releases, and API driven functionality. With Level AI positioning itself as an AI native platform for contact centre intelligence, the testing surface extends beyond UI workflows into data pipelines, integrations, and reliability of services that underpin customer facing insights.
For a SaaS career path, the scope is notable because it blends classic automation engineering with practices that matter in subscription software at scale: regression discipline, release pipeline thinking, and performance validation as part of shipping. The emphasis on load and stress testing, plus exposure to observability tooling, maps well to how SaaS teams increasingly prevent defects through monitoring signals rather than only end of sprint test cycles. Familiarity with using generative AI for test design also reflects a practical shift in how QA productivity is evolving across the ecosystem.
This is best suited to an engineer who prefers hands on ownership of test frameworks and enjoys partnering closely with developers on scenario design. It fits someone early to mid career who wants breadth across automation, APIs, and data oriented validation in an on site team environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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)
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What you’ll get to do at Level AI (and more as we grow together):- Define, develop and implement test requirements for data pipelines and product features.
- Product and data expert with deep understanding of all user scenarios.
- Work cross-functionally with developers to gather input on test scenarios.
- Assess overall product quality and define a strategy to deliver high-quality features.
- Develop new automated tests and set up automation testing frameworks to reduce the time to release product features.
- Developing a framework to do load and stress testing of features.
- Plan, execute, monitor, and validate testing processes.
- Supporting manual functional testing, such as creating and executing test cases when required.
- Developing new builds and release pipelines for automation testing.
- Correcting build errors and maintaining formal release records to track release content.
We'd love to explore more about you if you have- 2 to 4 years of experience
- Experience with generative AI for test case design and automation script scaffolding.
- Familiarity with data-driven and model-based testing approaches.
- Exposure to observability and monitoring tools (Datadog, Grafana, ELK, OpenTelemetry) for proactive defect detection.
- Strong debugging skills
- Extensive experience in thorough testing of new data pipelines and complexities tailored to individual customer needs.
- Experience with Web application standards and APIs. Hands-on experience with API testing tools like Postman.
- Strong knowledge of the SaaS model/cloud-delivered application testing.
- Experience with Test and defect management tools.
- Experience working with latest tools and frameworks in test automation, such as Selenium, Cucumber, Katalon Studio, RestAssured/SoapUI, etc.
- Excellent analytical and program solving skills, excellent written and oral communication, self-starter, and highly motivated.
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To learn more visit : https://thelevel.ai/Funding : https://www.crunchbase.com/organization/level-aiLinkedIn : https://www.linkedin.com/company/level-ai/
