Job Description
The Senior AI Automation QA Engineer will be responsible for leading the design and continuous evolution of the automated testing framework, ensuring comprehensive test coverage and delivery quality. This role requires deep expertise in AI testing tools to enhance test generation, execution, and analysis efficiency. The engineer will standardize AI-assisted Testing Workflows across teams and establish reusable test asset libraries. Additionally, they will oversee the development of functional, performance, stability, and chaos engineering testing systems. Close collaboration with R&D teams is essential to integrate quality assurance early in the development lifecycle.
Key Responsibilities
- Lead the top-level design and continuous improvement of automated testing frameworks, ensuring high test coverage and quality deliverables.
- Utilize AI testing tools to maximize efficiency in test generation, execution, and analysis.
- Standardize AI-assisted Testing Workflows within the team and build a reusable test asset repository.
- Develop and maintain systems for functional, performance, stability, and chaos engineering testing.
- Collaborate closely with R&D teams to integrate quality assurance measures early in the development process.
Job Requirements
- Proven experience in test development or automation testing, with proficiency in Python/Java and a track record of leading test platform development.
- Deep understanding of API automation, CI/CD integration, and mainstream testing frameworks, with the ability to design comprehensive quality engineering systems.
- Hands-on experience with AI testing tools or AI-assisted QA workflows.
- Strong quality-driven mindset with the initiative to drive quality improvements in the development process.
- Preferred experience in testing financial, trading, or high-concurrency systems.
Benefits
The company provides work visa sponsorship for overseas candidates.
