Tatras Data
2 days ago
About the job :
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 betterwith 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 :
- 24 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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