QA Automation Engineer II designing and developing automated test solutions for product quality improvement. Collaborating across teams to enhance testing coverage and maintain high standards.
About the role
- Sr SDET role integrating Gen AI into testing phases. Requires 5+ years QA automation experience with multi-platform testing and DevOps expertise.
Responsibilities
- Gen AI Testing Pioneer: Lead the integration of Gen AI into all phases of testing— from automated test case generation and synthetic data creation to intelligent bug analysis. Multi-Platform Testing: Proven expertise in Web (Selenium, Playwright, or Cypress), Mobile (Appium, XCUITest etc), and API testing (Postman, RestAssured). Service Virtualization: Expert-level experience with tools like WireMock or similar technologies to simulate complex backend dependencies. Cloud Testing Ecosystem: Hands-on experience with cloud-based cross-browser and mobile testing platforms such as Perfecto, LambdaTest, or Sauce Labs. DevOps Mastery: Deep understanding of CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps) and a 'Quality as Code' mindset. Version Control: Expert knowledge of Git branching and merging strategies. The Modern AI & Tools Edge: Gen AI in QE: Proven experience leveraging Gen AI (e.g., Copilot, Claude, or specialized QA agents) for test script generation, maintenance, and edge-case discovery. Performance & Observability: Experience with performance testing and production monitoring using tools like Splunk or Dynatrace.
Requirements
- Experience Required: 8 & Above. Experience: 5+ years of professional experience in Quality Engineering and Automation. • Multi-Platform Testing: Proven expertise in Web (Selenium, Playwright, or Cypress), Mobile (Appium, XCUITest etc), and API testing (Postman, RestAssured). • Service Virtualization: Expert-level experience with tools like WireMock or similar technologies to simulate complex backend dependencies. • Cloud Testing Ecosystem: Hands-on experience with cloud-based cross-browser and mobile testing platforms such as Perfecto, LambdaTest, or Sauce Labs. • DevOps Mastery: Deep understanding of CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps) and a 'Quality as Code' mindset. • Version Control: Expert knowledge of Git branching and merging strategies. The Modern AI & Tools Edge • Gen AI in QE: Proven experience leveraging Gen AI (e.g., Copilot, Claude, or specialized QA agents) for test script generation, maintenance, and edge-case discovery. • Performance & Observability: Experience with performance testing and production monitoring using tools like Splunk or Dynatrace. Bonus Points (Nice-to-Haves) • Agentic AI for QE: Familiarity with building or using autonomous agents for self- healing test suites or exploratory testing. • Contract Testing: Experience with Pact or similar tools for microservices validation.
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