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.

Work arrangement
Yes