QA Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
QA Engineer (AI): Testing complex platform products and personalized user experiences with an accent on API integration, end-to-end flow validation, and algorithm-driven logic. Focus on exploring and implementing AI-driven testing methodologies to improve coverage and automation efficiency in a high-scale environment.
Company
is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange, dedicated to advancing the freedom of money through an inclusive financial ecosystem.
What you will do
- Own functional testing for platform products, including test planning, design, and execution.
- Perform API testing and analyze complex upstream/downstream service invocation flows.
- Design end-to-end test scenarios covering frontend, backend, strategy, and algorithm-driven interactions.
- Validate personalized user experiences to ensure consistency across different segments and UI variations.
- Drive the adoption of AI for test case generation, coverage improvement, and automated testing.
- Collaborate with Product, Engineering, and Algorithm teams to identify issues and ensure quality closure.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Experience in QA or software testing, preferably with platform products.
- Solid understanding of functional and API testing methodologies.
- Ability to understand backend infrastructure and complex service interaction flows.
- Strong end-to-end testing mindset with experience in validating dynamic configurations and strategy execution.
- Familiarity with or strong interest in AI-driven testing and automation frameworks.
Culture & Benefits
- Opportunity to shape the future of the world’s leading blockchain ecosystem.
- Collaborate with world-class talent in a flat, user-centric organization.
- Work-from-home arrangement.
- Competitive salary and comprehensive company benefits.
- Autonomy in a fast-paced, innovative, and results-driven environment.
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