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.
