Designs and maintains automated testing frameworks for margin trading and risk systems using Java and/or Rust. Responsibilities include test planning, environment management, black-box and white-box testing, security and performance testing, defect analysis, and validation of complex trading workflows, margin calculations, liquidation processes, and high-concurrency distributed systems.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
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.
Responsibilities
- 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.
Requirements
- 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.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Similar Jobs
Machine Learning • Natural Language Processing
Leads a large-scale AI training data program spanning multiple projects, vendors, and cross-functional teams. Owns program strategy, client relationships, budgets, quality outcomes, capacity planning, risk management, compliance, and continuous process improvement. Manages delivery teams, governance reviews, change control, automation initiatives, and operational performance to meet high-volume client commitments.
Top Skills:
Ai Training DataAutomationDashboards
eCommerce • Healthtech • Software
Manages sales activities across a designated territory, meeting new and existing customers, expanding market share, promoting new products, identifying sales opportunities, and providing product and competitive intelligence. The role develops territory coverage plans, prepares sales reports, monitors performance against objectives, recommends adjustments, and collaborates with internal departments to achieve sales goals.
eCommerce • Healthtech • Software
Evaluates demand and prepares forecasts for business units or product lines. Collaborates with marketing, sales, finance, procurement, and operations to improve supply-demand alignment, forecast accuracy, inventory optimization, and supply chain visibility. Develops dashboards, reports, KPIs, and scorecards; leads forecast review meetings and continuous improvement initiatives; ensures data integrity and compliance; and explores technologies such as IoT and blockchain to improve transparency and agility.
Top Skills:
BlockchainIotPower BIPythonRSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
