- Hong Kong Hong Kong
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
We are looking for a passionate and curious Java Backend QA Engineer to join our team. You'll work closely with developers to ensure the quality of complex financial and Web3 products through deep technical testing — not just black-box validation, but real code-level understanding.
This is a great opportunity for a young talent who wants to grow fast in a high-impact, high-velocity fintech environment.
Design and execute white-box and grey-box test strategies for Java-based backend services, including unit, integration, and API testing
Read and analyze Java source code to identify edge cases, logic flaws, and potential risk points
Build and maintain automated test frameworks and test tooling for financial backend systems
Collaborate with developers on code reviews, test coverage analysis, and CI/CD pipeline quality gates
Test and validate blockchain transactions, web3 wallet operations, and on-chain/off-chain data consistency
Investigate production issues, trace root causes through logs, DB records, and service call chains
Leverage AI tools (e.g., LLM-assisted test generation, log analysis, code review) to amplify testing efficiency
Required
1+ years of experience in software testing or backend development
Solid understanding of Java — able to read, write, and debug Java code confidently
Hands-on experience with backend testing: REST APIs, message queues (Kafka), databases (MySQL/Redis)
Familiarity with microservice architectures and distributed systems concepts
Strong analytical mindset with attention to detail and a passion for breaking things (in a good way)
Nice to Have
Experience in fintech, crypto, or blockchain domain testing
Knowledge of web3 wallets, on-chain data, or DeFi protocols
Familiarity with Spring Boot, Dubbo, or similar Java frameworks
Experience using AI-assisted tools in daily engineering work
Exposure to white-box testing techniques: code coverage, mutation testing, static analysis
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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