Why This Job is Featured on The SaaS Jobs
This SDET role sits at the intersection of two active SaaS trends: AI-native products and contact-centre analytics delivered as a cloud platform. With Level AI positioned as a Series C company founded in 2019, the work is likely to involve a maturing product surface area where reliability, regression control, and performance become central as customer usage broadens. The remit also spans data pipelines alongside application features, which is increasingly typical for SaaS products built on large-scale conversation data.
For a SaaS career, the role offers durable experience in building automation frameworks that support frequent releases, API-heavy workflows, and production-like validation. Exposure to load and stress testing, CI tooling, and release pipeline maintenance maps directly to how modern SaaS teams protect uptime and ship changes safely. The mention of using generative AI for test design and script scaffolding also reflects an emerging capability that is becoming relevant across QA and engineering productivity.
This position best suits an engineer who prefers structured problem solving, deep debugging, and cross-functional collaboration with developers to define coverage. It aligns with someone early to mid-career who wants breadth across functional, performance, and data-quality testing rather than a narrow manual testing track.
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/
