800000 - 800000 INR - Yearly
Bangalore, KA, India
Information Technology
Full-Time
Blurgs Innovation
Overview
About the Role
We are looking for a passionate and detail-oriented QA Automation Engineer to own quality across the entire application stack. You will design, build, and maintain automated testing solutions for frontend, backend/API, integration/environment, and performance layers using modern, industry-leading tools.
Key Responsibilities
- Frontend Testing: Develop and maintain robust end-to-end automated UI tests using Playwright (or Cypress) for web and cross-browser compatibility.
- Backend / API Testing: Design, implement, and execute comprehensive API and backend tests using pytest and Postman (collections, Newman, contract testing).
- Integration / Environment Testing: Build reliable integration and environment-specific test suites with Testcontainers to spin up real Docker-based dependencies (databases, message queues, third-party services) in isolated, reproducible environments.
- Performance Testing: Create and execute load, stress, and scalability tests using k6 (or Locust) to ensure the application meets performance SLAs under realistic conditions.
- Collaborate with developers and DevOps teams to integrate all test suites into CI/CD pipelines (GitHub Actions, Jenkins, etc.).
- Perform exploratory and manual testing when needed, triage defects, and drive continuous improvement of QA processes.
Requirements (Must-Have)
- Minimum 4 years (4+ YOE) of hands-on experience in test automation and quality engineering.
- Strong proficiency in frontend automation with Playwright or Cypress.
- Solid experience writing automated tests in pytest and working with Postman for API testing.
- Practical experience with Testcontainers for integration and environment testing.
- Hands-on performance testing experience with k6 or Locust.
- Strong programming skills in Python and/or JavaScript/TypeScript.
- Working knowledge of Docker, Git, Agile/Scrum methodologies, and CI/CD pipelines.
Preferred / Nice-to-Have
Familiarity with AI-assisted testing tools.
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