Automation QA Engineer

3 weeks ago

Mumbai, Maharashtra, India Tatras Data Full time

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.

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