Binance
QA Engineer (AI), Personalisation
Rol remoto de QA Engineering con fit claro de ubicación del candidato.
Publicado19 jun 2026
Países elegibles9 países aceptados
Señal de seniorityMiddle
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
QA Engineer (AI), Personalisation
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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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