Automation QA Engineer

Job Title:

Automation QA Engineer

About Us:

We are building high-quality, scalable, and intelligent platforms, and quality is central to everything we do. We are looking for an Automation QA Engineer who doesn't just test software, but helps build it better—with a mindset to break things early, code automation robustly, and ensure exceptional performance and reliability.

Role Overview:

As an Automation QA Engineer, you will play a critical role in developing and maintaining automated test suites, creating test strategies, and ensuring quality across the development lifecycle. This role demands good programming skills and a solid understanding of software testing principles.

Responsibilities:

  • Design, develop, and maintain automated test frameworks and scripts (UI, API, integration, regression).

  • Collaborate with developers, product managers, and DevOps to ensure test coverage and quality standards.

  • Identify, record, and thoroughly document bugs.

  • Work in Agile teams and actively participate in sprint planning, reviews, and daily stand-ups.

  • Develop and manage test plans, test cases, and test data.

  • Contribute to CI/CD pipelines by integrating automated tests.

  • Analyze test results, track quality metrics, and continuously improve QA practices.

Key Requirements:

  • 2–4 years of experience in QA automation with good programming skills in Python, Java, JavaScript or any other programming language.

  • Practical experience writing and maintaining automated test scripts for UI and API testing using tools like Selenium, Playwright, Cypress, or Postman/Postbot.

  • Basic exposure to or curiosity about AI-based testing tools and using AI tools like ChatGPT to assist in test case generation or exploratory testing.

  • Understanding of test automation frameworks and ability to contribute to or extend existing ones.

  • Familiarity with bug tracking and test management tools (e.g., Jira, TestRail, Zephyr).

  • Ability to write clear, concise test cases and document results effectively.

  • Willingness to learn and experiment with AI tools and frameworks that can optimize testing efforts over time.

Preferred Skills:

  • Experience in testing cloud-native applications (AWS/Azure/GCP).

  • Exposure to AI-assisted testing tools or exploratory testing techniques.

  • Knowledge of performance testing (JMeter, Locust) or security testing tools is a plus.

  • Exposure to source control (Git) and Agile development practices.