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Key Responsibilities Lead the design, development, and implementation of scalable automation frameworks using Playwright/Selenium. Provide hands-on technical leadership across UI, API, end-to-end, integration, and regression automation. Define the overall test automation strategy, architecture, coding standards, reusable components, and engineering best practices. Evaluate and implement AI/GenAI capabilities within the Quality Engineering lifecycle, including intelligent test generation, test optimization, defect analysis, test maintenance, and engineering productivity improvements. Establish effective use of AI-assisted development and testing approaches, with appropriate focus on accuracy, security, governance, and responsible adoption. Integrate automated test suites with CI/CD pipelines to enable continuous testing and rapid quality feedback. Drive improvements in automation coverage, execution efficiency, reliability, maintainability, and overall release confidence. Review automation code and framework design to ensure scalability, reusability, performance, and engineering quality. Identify opportunities to reduce repetitive manual effort through automation, reusable accelerators, and AI-enabled solutions. Troubleshoot complex automation challenges and provide technical guidance on framework, application, environment, and pipeline issues. Mentor automation engineers and promote a culture of engineering excellence, continuous learning, innovation, and quality ownership. Collaborate closely with Product, Development, DevOps, Architecture, and Business teams to embed quality throughout the software development lifecycle. Define and monitor relevant QE metrics and KPIs to demonstrate automation effectiveness and continuous improvement. Required Skills & Experience 8 14 years of overall experience in Quality Engineering, Test Automation, or Software Engineering in Test. Strong hands-on experience with Playwright/Selenium, including framework development and enterprise-scale automation implementation. Strong programming experience in TypeScript/JavaScript/Java. Knowledge of additional languages such as Java or Python would be advantageous. Strong understanding of modern automation design patterns, reusable framework architecture, test data management, reporting, logging, and parallel execution. Experience across Web/UI and API automation, with good understanding of end-to-end testing strategies. Strong working knowledge of CI/CD and DevOps practices, with experience integrating automation into continuous delivery pipelines. Good understanding of Git-based development workflows, code reviews, branching strategies, and engineering standards. Strong knowledge of AI and Generative AI concepts, with an understanding of how AI can be practically applied across the software testing lifecycle. Exposure to LLMs, prompt engineering, AI coding assistants, AI agents, or AI-enabled testing solutions is highly desirable. Strong understanding of Agile delivery, shift-left testing, continuous testing, and modern Quality Engineering principles. Demonstrated experience in leading and mentoring automation engineers while continuing to contribute hands-on technically. Strong analytical, problem-solving, stakeholder management, and communication skills. Preferred / Good-to-Have Skills Experience implementing AI/GenAI-driven accelerators or use cases for Quality Engineering. Exposure to agentic AI, Model Context Protocol (MCP), LLM-based applications, RAG, or AI-assisted test automation. Experience with cloud platforms such as Azure, AWS, or GCP. Understanding of performance, accessibility, security, and mobile testing would be an advantage. Experience modernizing legacy automation frameworks and transitioning to Playwright or contemporary automation platforms. Experience working in complex, large-scale enterprise environments with multiple applications and distributed teams. Relevant certifications in Quality Engineering, Cloud, DevOps, or AI would be an added advantage.
From live job posts on CoreHRx, updated 13 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post states ₹27 LPA.
It is a full time job.
Interview preparation · 60 questions
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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