Senior Software QA Engineer

Our client is an established proprietary trading and technology firm that is expanding its engineering capabilities in Taiwan.

The firm combines quantitative research, systematic and discretionary trading strategies, and long-term technology investment. Its engineering environment is highly technical and collaborative, with a strong focus on performance, reliability, risk management and continuous improvement.

They are now looking for a Senior Software QA / SDET / Test Automation Engineer to take ownership of the quality engineering strategy across their trading and research technology.

This is a hands-on software engineering role, rather than a traditional QA position. You’ll be responsible for designing and building automated testing frameworks, developing testing infrastructure and improving the way quality is embedded throughout the software development lifecycle.

You’ll work closely with software engineers, quantitative researchers, traders and operations teams to understand complex systems, identify areas of risk and build effective automated testing solutions.

• Designing, building and owning automated test frameworks for backend services, APIs and user-facing applications

• Developing automated functional, integration and performance testing capabilities

• Working closely with engineering, research, trading and operations teams to define quality requirements

• Identifying weaknesses in existing test coverage and driving improvements across the development lifecycle

• Promoting a shift-left approach to testing, helping engineering teams identify issues earlier in development

• Participating in architecture and system-design discussions to improve testability

• Validating system correctness, reliability and performance under high-throughput and low-latency conditions

• Developing testing tools and infrastructure rather than simply writing or executing test cases

• Contributing to engineering standards and best practices around automated testing

• Experience with Playwright, Pytest or similar modern automation frameworks

• Performance and load testing experience using tools such as k6 or Locust

• Experience testing low-latency, high-throughput systems

• Background in systematic trading, quantitative finance or crypto/Web3

• Experience applying AI/LLMs to software testing, such as AI-assisted test generation, automated failure analysis or testing/evaluating non-deterministic AI systems

• Working knowledge of SQL and/or NoSQL databases

• Experience testing data warehouses, data lakes or streaming/data pipelines

• Familiarity with observability and monitoring platforms such as Datadog or Grafana