Quality Assurance Engineer

We are looking for an AI-Native QA Engineer who embraces automation, leverages AI tools daily, and is excited to explore the future of agentic testing and intelligent quality assurance.

This is not a role for someone who occasionally uses AI assistants. We are seeking a QA professional who actively integrates AI tools into their engineering workflow to improve productivity, coverage, and software quality.

Key Responsibilities

• Build, maintain, and scale automated test frameworks using Playwright or Selenium.
• Develop automated test coverage for web applications, APIs, and end-to-end user journeys.
• Leverage AI tools such as OpenAI, Claude, Gemini, or similar platforms to accelerate test case creation, defect analysis, and coverage planning.
• Explore and implement AI-assisted and agentic QA workflows to improve testing efficiency and effectiveness.
• Integrate automated test suites into CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Perform API testing, backend validation, and SQL-based data verification.
• Collaborate closely with Product, Design, and Engineering teams to ensure quality throughout the software development lifecycle.
• Investigate defects, identify root causes, and validate fixes.
• Continuously improve automation coverage, testing processes, and quality engineering practices.

Must Have: All of the following are mandatory.

• 2–4 years of QA experience in a Product or SaaS environment.
• Hands-on experience building automation frameworks from scratch using Playwright or Selenium .
• Demonstrated use of OpenAI, Claude, Gemini, or similar AI tools in an engineering or QA workflow.
• Strong understanding of AI agents, prompt engineering, tools, and AI-driven workflows .
• Ability to write and troubleshoot automation scripts using Python, JavaScript, or Node.js .
• Comfortable reading application code, debugging issues, and collaborating with developers on technical solutions.
• Experience in API testing and automation.
• Good understanding of SQL and database validation.
• Experience integrating automated tests into CI/CD pipelines.
• Strong analytical, debugging, and problem-solving skills.
• BE/BTech or ME/MTech degree.

Good to Have

• Experience with BDD frameworks such as Gherkin or Cucumber.
• Familiarity with Jira, Zephyr, or similar test management tools.
• Exposure to MCP (Model Context Protocol) or similar agent frameworks.
• API automation using Postman, REST Assured, or Playwright.
• Experience working in Agile/Scrum product teams.
• Knowledge of performance, security, or accessibility testing.
• Ability to investigate failures beyond the test layer by analyzing application code and identifying likely root causes.
• Experience reviewing development codebases to pinpoint areas requiring fixes and collaborating with engineers on implementation approaches.
• Hands-on experience contributing bug fixes, testability improvements, or small code changes directly to the application codebase is considered a significant advantage.