Senior QA Engineer (Rust/Java), Margin

About the Role

We are looking for a highly skilled QA Automation Engineer with strong Java and/or Rust programming expertise to join our Margin team. You will play a key role in ensuring the quality, stability, and reliability of our margin trading products and risk systems, collaborating closely with engineering, product, and operations teams across the full software development lifecycle.

You will design, develop, and maintain scalable automated testing frameworks and tools using Java and/or Rust, with a focus on complex trading workflows, risk controls, and high-concurrency systems. Your work will help strengthen product quality, improve test coverage and efficiency, and support the delivery of secure, reliable, and high-performance trading experiences to millions of users worldwide.

Participate in the Margin team’s full software development lifecycle, from requirements analysis and test planning to execution, defect tracking, product delivery, and maintenance, with a strong focus on Java / Rust-based trading and risk systems.

Work closely with software engineers, product managers, designers, and operations teams to provide insights and feedback on system design, testing strategies, and implementation for margin trading products and risk control features.

Set up and manage testing environments, developing detailed and well-structured test plans and cases for complex trading workflows, margin calculations, liquidation processes, and high-concurrency systems.

Perform extensive testing including black-box, white-box, security, automation, and performance testing across web, mobile, backend, and distributed systems.

Stay up to date with the latest Java / Rust technologies and testing methodologies, continuously improving automation frameworks, testing efficiency, and overall product quality.

Minimum 3 years of experience in QA Automation or Software Testing, preferably in tech, fintech, or trading platforms.

Strong programming skills in Java / Rust and familiar with automated testing methodologies, distributed systems, and high-concurrency architectures.

Strong troubleshooting and root cause analysis skills for debugging performance and system issues.

Familiarity with AI tools or large language models is a plus.