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.

Responsibilities

• 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

  
  
  

Requirements:

• 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)

  
  
  

Preferred Requirements:

• 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