Weekday AI
Weekday AI

Testing Engineer

Weekday AI
Chennai, TN, IN
  Job Expired
Full-time3+ yrs
7ds ago0 view0 clicked apply

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𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟬 𝗟𝗣𝗔)

Experience: 3+ yrs

Location: chennai

Job Type: Full-time

We are looking for a highly skilled and proactive Quality Assurance Engineer who combines strong software testing expertise with a modern, AI-driven approach to quality engineering. The role is focused on building robust test automation, improving product reliability, and helping engineering teams deliver high-quality software faster.

The ideal candidate will have strong hands-on experience with Playwright, TypeScript/JavaScript, frontend testing, API testing, and AI-assisted testing workflows. Beyond identifying defects, you will help define testing strategies, improve QA practices, and enable developers and QA professionals to adopt more effective automation and AI-powered testing approaches.

Requirements

KEY RESPONSIBILITIES

  • Leverage AI tools and agentic workflows to improve testing efficiency, automation, exploratory testing, and defect analysis.
  • Collaborate with developers, product managers, designers, and QA teams to define and execute effective test strategies.
  • Design, develop, and execute automated and manual test cases for web and frontend functionalities.
  • Build and maintain automated test suites using Playwright with TypeScript/JavaScript.
  • Apply appropriate automation patterns such as Page Object Model (POM), Screenplay, and other scalable testing approaches.
  • Validate API responses, authentication mechanisms, integrations, and end-to-end workflows using Playwright, Postman, and other API testing tools.
  • Perform functional, regression, integration, exploratory, cross-browser, and cross-device testing.
  • Identify, document, prioritise, and track defects using Qase, Jira, or similar tools.
  • Conduct daily bug triage and work closely with engineering teams to ensure timely resolution.
  • Analyse frontend issues using Chrome Developer Tools, DOM inspection, browser behaviour, and web debugging techniques.
  • Develop and maintain test plans, test documentation, automation frameworks, and quality metrics.
  • Contribute to improving test coverage, engineering quality practices, and team-level QA capabilities.
  • Support CI/CD-based automated testing using GitHub Actions, Jenkins, GitLab, CircleCI, or similar platforms.
  • Identify opportunities to improve testing processes, automation coverage, and engineering productivity.
  • Help establish quality standards, testing best practices, and scalable QA processes across the engineering organisation.

WHAT MAKES YOU A GREAT FIT

  • 3+ years of experience in software testing, quality assurance, or quality engineering.
  • Proven experience using AI to generate automated tests, accelerate test development, or perform AI-driven exploratory testing.
  • Strong hands-on expertise with Playwright and TypeScript/JavaScript for test automation.
  • Solid understanding of frontend testing for modern web applications; component testing experience is an advantage.
  • Strong knowledge of web technologies, including the DOM, browser behaviour, HTML/CSS, and frontend debugging.
  • Practical experience with Chrome Developer Tools and troubleshooting browser-based issues.
  • Experience with API testing using Postman, Playwright, or similar tools.
  • Strong understanding of test automation frameworks, design patterns, test coverage, regression testing, and quality processes.
  • Experience with test case and defect management tools such as Qase, TestRail, BrowserStack, or similar platforms.
  • Familiarity with Jira, Confluence, Google Docs, and Google Sheets for documentation, test planning, and collaboration.
  • Experience integrating automated tests into CI/CD pipelines such as GitHub Actions, Jenkins, GitLab, or CircleCI.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
  • Strong understanding of Agile methodologies and experience working in fast-paced product development environments.
  • A proactive mindset with a passion for AI, automation, continuous improvement, and engineering excellence.
  • Ability to think beyond traditional QA practices and use technology to improve the effectiveness and scalability of the overall quality function.
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