QA Engineer (AI), Personalisation

About the role

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We are looking for a QA Engineer who has strong capabilities in platform product testing, can understand complex backend service call flows, and is interested in AI-driven testing and end-to-end automation. This role will be responsible for functional testing of platform products, API testing, end-to-end test design, and exploring the application of AI in test case coverage and automated testing. Our product supports personalized experiences at scale, where different users may see different features, UI, and content in the app. Behind this are algorithm- and strategy-driven systems, while the frontend relies on dynamic UI rendering. Therefore, this role requires strong end-to-end testing capability, system-level thinking, and the ability to validate complex cross-functional scenarios.

Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

• Own functional testing for platform products, including test planning, test design, execution, and quality assurance for releases.

• Perform API testing and understand the overall service invocation flow, including upstream/downstream dependencies across long and complex backend chains.

• Design and execute end-to-end test scenarios covering frontend, backend, strategy, and algorithm-driven interactions.

• Validate personalized user experiences, ensuring correctness and consistency across different user segments, feature exposure, UI variations, and content delivery.

• Build and improve test coverage, testing methodologies, and quality assurance processes for complex platform capabilities.

• Explore and drive the adoption of AI in testing, including:
• AI-assisted test case generation and coverage improvement
• AI-driven end-to-end automation testing
• Intelligent approaches to improve testing efficiency in complex scenarios

• Work closely with Product, Engineering, Algorithm, and Strategy teams to identify issues, drive root cause analysis, and ensure quality closure.

• Continuously improve testing approaches and propose innovative quality solutions for evolving business scenarios.

Requirements

• Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or a related field.

• Experience in QA / software testing, preferably with platform product testing experience.

• Solid understanding of functional testing and API testing methodologies, with the ability to independently design and execute test cases.

• Basic understanding of backend infrastructure and service interaction flows; able to understand the full calling process rather than testing isolated APIs only.

• Strong end-to-end testing mindset, with the ability to validate scenarios involving frontend/backend interactions, dynamic configuration, strategy execution, and algorithm-driven logic.

• Ability to understand the fundamentals of test automation and be familiar with common testing frameworks and automation concepts.

• Familiarity with or strong interest in AI-driven testing, including the use of AI for test case coverage, automation, and quality analysis.

• Strong analytical thinking, problem-solving skills, and the ability to work effectively across teams in complex environments.

• Innovative mindset with a willingness to explore new testing methods, tools, and quality assurance approaches.

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