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Tier-1 employer, mid-level QA role, metro locations, and common skillset drive high competition.
Automation and QA skills transfer across industries, though GenAI and consulting context add moderate specialization.
Explicit 4 years plus specific automation, programming, cloud and GenAI tooling requirements increase filtering stringency.
Drive and implement quality engineering standards in software development and testing processes within the Software and Product Innovation team.
Identify, analyze, and resolve software defects to optimize performance and enhance user experience using tools like Selenium and AI-assisted automation.
Collaborate with cross-functional teams to design and manage quality assurance processes and metrics, support post-go-live activities, and build client relationships.
Bachelor's degree minimum.
At least 4 years of relevant experience in quality engineering or software testing.
Proficiency in English (oral and written).
Experience with test management tools such as Jira, Azure DevOps, Xray, Zephyr or equivalent.
Proficient in hands-on use of at least two GenAI/AI tools (GitHub Copilot, ChatGPT, Cursor, Claude, Gemini) for software testing tasks including test-case generation and defect analysis.
Skilled in developing and maintaining AI-assisted automation frameworks using tools like Playwright with MCP, Selenium with MCP Tosca, Karate, or REST Assured, and connecting to MCP servers.
Experienced in programming languages (TypeScript/JavaScript, Java or Python) and cloud platforms (AWS, Azure or GCP) with strong capabilities in QA engineering, compatibility, and performance testing methodologies.