SDET (Noida, India)

LevelAI • Noida • 1m ago

Why This Job is Featured on The SaaS Jobs

This SDET role sits at the intersection of modern SaaS delivery and AI-native product development. Level AI is presented as a Series C company building a cloud platform for contact centres, which typically implies frequent releases, complex integrations, and enterprise-grade reliability expectations. In that environment, quality engineering is less about isolated test execution and more about shaping how software is validated across APIs, data flows, and user-facing features.

For a SaaS career path, the work described maps to durable, cross-company skills: building automation frameworks, strengthening CI pipelines, and treating performance and regression coverage as part of the release system. The emphasis on data pipelines and observability-aware testing aligns with how SaaS products are increasingly operated in production, where quality is measured through monitoring signals as much as pre-release checks. Exposure to AI-assisted test design also reflects an emerging workflow in QA teams.

This role is best suited to someone who enjoys deep debugging, collaborating closely with developers, and owning repeatable test strategy rather than only writing scripts. It will likely appeal to early to mid-career SDETs who want hands-on breadth across automation, API validation, and release readiness in a cloud product context.

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)

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.