General QA engineer
"What You'll Be Doing"
What You'll Be Doing
Design, develop, and execute comprehensive test plans for trading infrastructure and internal tools.
Build and maintain automated test suites for real-time quantitative systems and APIs.
Ensure adequate test coverage for low-latency, high-availability, and scalable systems.
Work with developers and analysts to clarify requirements, identify edge cases, and align testing with business and technical goals.
Investigate, reproduce, and debug issues within complex distributed systems.
Contribute to performance testing, latency benchmarking, and system monitoring.
Support CI/CD pipelines through automated testing strategies.
Maintain high standards of test documentation and test coverage.
What We're Looking For
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related STEM field.
3+ years of experience in QA Engineering or Software Testing in a high-throughput or low-latency environment.
Strong knowledge of software testing methodologies, SDLC best practices, and quality assurance processes.
Experience testing REST APIs and WebSocket-based services.
Proficiency in SQL for data validation, troubleshooting, and debugging.
Experience with API testing tools such as Postman.
Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, or Kibana.
Confident working knowledge of Linux command-line tools, logs, system utilities, and process monitoring.
Experience working with Docker.
Proficiency in scripting or programming languages such as Python or Java.
Experience with test automation frameworks and libraries such as Pytest, Selenium, or Pandas.
Familiarity with version control systems and CI/CD workflows.
Experience with automated testing, continuous integration, and deployment processes.
Understanding of market microstructure and trading products, including spot, futures, and swaps.
Familiarity with low-latency and high-frequency trading systems.
Strong understanding of mathematics, statistics, and numerical methods relevant to quantitative trading.
Ability to reason through quantitative problems and collaborate effectively with researchers, developers, and analysts.
Strong analytical and problem-solving skills, with the ability to independently investigate and resolve complex technical issues.
Strong focus on quality, reliability, and system performance.
Strong interest in technology, quantitative finance, and continuous learning.
Team-oriented mindset with strong communication and collaboration skills.
High level of ownership, reliability, and attention to detail.
Predictable availability to support stable operation of production trading systems when required.
Bonus Points
Experience with quantitative systems, HFT, trading platforms, or financial applications.
Experience working with complex distributed systems.
Why Join Us
Opportunity to work with modern equipment in comfortable working conditions.
24 calendar days of paid leave, plus additional days off for national holidays.
Ready to Apply?
To submit your application for this position, please visit WhiteBIT's official website and follow their application process.