About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 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 2,700 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.

How you'll make impact

Lead the engineering direction for KYC systems that make user onboarding safer, faster, and more efficient at scale.

Build and improve automation and workflow systems that streamline registration approval and reduce manual effort for internal operations teams.

Develop AI- and data-driven solutions to identify user risk and help prevent fraudulent or malicious activity.

Partner closely with Product, Operations, Compliance, and Engineering to deliver effective technical solutions.

Raise the bar on architecture, reliability, performance, and engineering quality while mentoring and supporting the growth of engineers on the team.

You'll work from our Singapore office five days a week.

What we're looking for

Essentials

A bachelor’s degree in Computer Science or a related field.

5+ years of software engineering experience.

Strong ability to understand complex business processes quickly and translate them into effective technical solutions.

Strong organisational and communication skills, with experience collaborating across teams and stakeholder groups.

Solid software engineering skills, with experience in backend or frontend development using Kotlin, Java, React, or TypeScript.

Hands-on experience building scalable, robust automation or workflow systems.

A self-driven and proactive approach to identifying problems and driving improvements.

Experience contributing to architectural discussions, code reviews, system reliability, performance, and scalability.

The ability to mentor or guide engineers and act as a technical role model as the team grows.

Preferred

Experience leading or mentoring engineers, ideally as a team lead or project lead.

Experience applying AI or machine learning to real-world problems, particularly automation or risk detection.

Familiarity with automation and workflow tools in cloud environments, such as AWS, GCP, Kubernetes, or CI/CD pipelines.

Experience working in fintech, payments, or a fast-growing technology environment.

Familiarity with compliance, risk control, or user onboarding domains.

You'll thrive here if

You're comfortable owning the roadmap yourself.

You're comfortable making decisions with incomplete information and moving quickly anyway.

You own the outcome and you don't wait for permission to fix what's broken.

You enjoy working closely with people across multiple countries and time zones as part of one connected, global team, including flexing your hours occasionally to make that connection work.

You value in-person collaboration and are happy being in the office five days a week.

You simplify complexity rather than hiding behind it.

Learn more about your team

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.