Airwallex
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 676,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
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. Familiarity with real-time data streaming technologies like Apache Kafka/Flink to ensure timely detection and response to potential threats.
5.Strong data analytics skills, with experience using tools like ClickHouse, Spark, or NoSQL databases for large-scale data processing and risk analysis.
6. Advanced problem-solving skills with prior experience in incident response and risk mitigation planning
7. Strong team player with effective communication skills.
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
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