15h Left Software Engineer In Test

About the Role- We are looking for a highly skilled Tooling and AI Automation Engineer with 5+ years of relevant experience to join our Automation team—not in a traditional application testing but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks.

Required Skills: - Proficiency in Java/ Python.
- Experience in building REST APIs or microservices for internal use and building new testing frameworks from scratch.
- Strong understanding of test automation frameworks (e.G., Pytest, Playwright, Cypress, Selenium).
- Solid Hands on experience in API Testing using Rest Assured, Mobile Automation using Appium and basics of Performance testing.
- Working knowledge or experience with Mabl, TestRigor, or any AI automation tool.
- Experience with GenAI or LLM integration for test case generation or failure analysis.
- Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
- Familiarity with databases (SQL, NoSQL) and working with test data at scale.
- Good in Debugging, Test Case planning, problem solving and logical thinking.

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 with SREs, 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