Software Engineer, Risk

Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US $11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future.

If you're ready to do the most ambitious work of your career, join us.

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next.

Risk Platform builds the decisioning infrastructure that sits between Airwallex and every dollar that moves through it, protecting 150,000+ businesses moving over US $260 billion a year across 200+ countries and 90+ currencies, and deciding, often in milliseconds, whether a new signup is real, a payment is safe, or a login is who they claim to be. The hard part is that fraud evolves fast, and every decision carries a two-sided cost: miss an attack and money is lost, over-block and a legitimate business can't get paid.

We build this with streaming pipelines processing billions of events a day, graph databases exposing coordinated fraud rings, ML models scoring every transaction, and LLM agents that triage alerts. You don't need a fintech background, just an appetite for adversarial systems problems where the scoreboard is measured in dollars. If you want to help scale one of the world's fastest-growing financial platforms safely, this is the team.

Our mission is to keep Airwallex's products and services safe and secure, and make Airwallex a trusted partner for businesses around the world. We use cutting-edge technologies, such as graph, ML, and LLM, to implement and improve our strategy.

Our team expands across Seattle, Singapore and China. We collaborate with other teams and our customers globally to ensure a holistic approach for risk management.

This role is based in Seattle.

1. Collaborate with the senior technical team to develop and enhance the company's payment products and transaction systems using Java/Kotlin.

2. Independently design and develop components on the company's microservice framework.

3. Experiment with new technologies and propose architectural improvements.

4. Support and mentor less-experienced team members in software engineering practices and coding standards.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

1. More than 8 years of Core Java development, more than 5 years of experience in Internet application / large financial system / e-commerce platform development;

2. More than three years experience in risk platform or payment platform development;

3. Bachelor degree in computer science and related majors;

4. Proficient in Java, familiar with Java multi-threading, high concurrency, IO / NIO, network communication, etc.;

5. Familiar with commonly used design patterns, with experience in design and development of large-scale distributed, high concurrency, high load, high availability systems;

6. Master various common server technologies, which can optimize service response and data query, ensure various service quality, and solve the problems of high concurrency and high availability;

7. Familiar with Spring / Spring Boot and RESTful services;

8. Master Gradle / Maven and other build tools;

9. Familiar with JSON & XML.

1. In-depth knowledge of risk management strategies and fraud detection techniques, particularly within financial and fintech industries.

2. Familiarity with graph databases and the ability to utilize them for pattern and anomaly detection.

3. Experience with machine learning models and frameworks for predictive risk analytics.

4.…