QA Engineer (SDET) - 3-5 years

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Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About the Role-

We are looking for a highly skilled Tooling and AI Automation Engineer (SDET-2) to join our Automation team—not in a traditional application development capacity, but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks. This role is ideal for someone who thrives at the intersection of testing, data engineering, and internal tool development, with a passion for empowering QA and Dev teams with intelligent systems and visual insights.

Key Responsibilities:

  • Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms
  • Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization
  • Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics
  • Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts
  • Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.)
  • Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted
  • Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability
  • Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices

Required Skills:

  • Proficiency in Java - a scripting languages
  • Hands on experience in UI Testing (Java + Selenium) , API Testing (Rest Assured) and Mobile Automation Testing. (Appium - good to have)
  • Working knowledge or experience with Mabl, TestRigor, or any AI automation tool
  • Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium)
  • Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
  • Familiarity with databases (SQL, NoSQL) and working with test data at scale
  • Experience in building REST APIs or microservices for internal use

Nice to Have

  • Experience with GenAI or LLM integration for test case generation or failure analysis
  • Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases
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