About this role

▸about Binance — company background

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.

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

sourced from the original posting ↗ · always verify details there before applying