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Tier-1 brand, mid-level generalist SDET, metro location, and broad skillset create high competition.
Core QA and automation skills are transferable across industries, while cloud-native and AI testing add moderate specialization.
Explicit 4–6 years plus mandatory automation frameworks, language, and CI/CD skills make filters stringent.
Lead quality engineering strategy focusing on modern web applications and backend services, ensuring embedded quality throughout the software development lifecycle.
Design, develop, and maintain scalable test automation frameworks and contribute production-level code using Java, Python, and JavaScript/TypeScript.
Drive API, integration, and end-to-end testing strategies for distributed and cloud-native systems and champion modern engineering practices including CI/CD, infrastructure automation, and AI-powered software development tools.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
4–6 years of experience in Software Engineering, Software Quality Engineering, or hybrid SDET roles.
Strong programming skills in Java and Python, plus proficiency with React and modern web technologies.
Experience with test automation frameworks (e.g., Playwright, Selenium, JUnit, TestNG, PyTest), REST APIs, microservices, SQL/MongoDB, Git, CI/CD tools (Jenkins, GitHub Actions), Docker, and Agile development.
Experienced in using AI-assisted development tools like ChatGPT, GitHub Copilot, Claude, or Cursor to accelerate coding, test generation, debugging, and documentation.
Comfortable contributing both frontend and backend code with a shift-left quality mindset, supporting cloud-native applications and distributed systems.
Proven ability to lead continuous improvements in test strategy, automation coverage, and engineering productivity through metrics and data-driven decisions.