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Medium due to a Tier-1 brand and metro locations balanced by specialized AI+QE skill requirements.
Medium: core QA automation skills are transferable but GenAI-focused testing adds moderate domain specificity.
High: multiple mandatory technical requirements including specific GenAI tools, automation frameworks, cloud, and CI/CD.
Implement and uphold quality engineering standards in software development and testing, including functional, compatibility, and performance testing.
Utilize AI tools (e.g., GitHub CoPilot, ChatGPT) and automation frameworks (Selenium, Playwright) for test case generation, automation, execution, and defect analysis.
Collaborate with cross-functional teams to validate software functionality, provide post go-live support, and lead process improvement initiatives.
Bachelor's degree required.
Oral and written proficiency in English mandatory.
Proficient with AI tools for software testing, including at least two: GitHub CoPilot, ChatGPT, Cursor, Claude, Gemini.
Work Experience Required: Not explicitly mentioned in the JD.
Experience in integrating AI-assisted automation with programming languages like TypeScript/JavaScript, Java, or Python and reviewing AI-generated code critically.
Familiarity with automation and CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, and quality management tools like Jira, Xray, or Zephyr.
Exposure to testing GenAI applications, understanding of LLM concepts (prompt management, hallucinations), and cloud platforms (AWS, Azure, GCP) for innovative software quality assurance.