AI-Driven QA Engineer for Trading Platforms

Leadingnation

Hong Kong

On-site

HKD 420,000 - 640,000

Full time

11 days ago
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Job summary

Leadingnation is seeking an experienced QA engineer to join our trading platform testing team in Hong Kong. You will design, implement, and maintain automated test cases for UI, APIs, and messaging systems, and help build robust regression and performance testing capabilities.

You will work with product and engineering to ensure data strategies and test coverage for end-to-end scenarios, leverage AI tools to improve efficiency, and contribute to test platforms and metrics to raise quality across

Qualifications

  • 5+ years of testing experience with 2+ years in test development.
  • Proficient in Python or Java with strong coding practices.
  • Experience with frameworks like Pytest, Playwright, JMeter, K6, Locust.

Responsibilities

  • Participate in functional, automated, and performance testing for trading platform systems.
  • Design, develop, and maintain automated test cases for UI, APIs, and messaging middleware.
  • Lead construction of test platforms, automation frameworks, and regression systems.
  • Explore and apply LLMs and AI tools to enhance testing intelligence.
  • Collaborate with product and engineering to design key regression and end-to-end tests.
  • Support performance, stability, and capacity testing and improve testing metrics.

Skills

5+ years testing
2+ years test development
Python
Java
Strong coding practices
Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Pytest
Playwright
Appium
JMeter
K6
Locust

Job description

Leadingnation is seeking an experienced QA engineer to join our trading platform testing team in Hong Kong. You will design, implement, and maintain automated test cases for UI, APIs, and messaging systems, and help build robust regression and performance testing capabilities.

You will work with product and engineering to ensure data strategies and test coverage for end-to-end scenarios, leverage AI tools to improve efficiency, and contribute to test platforms and metrics to raise quality across

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