Airwallex
Software Engineer, Quality
- Employment type
- Full-time
- Workplace type
- On-site
- Location
- SG - Singapore
- Published
- Sep 16, 2026
- Last checked
- Oct 26, 2026
About this role
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 https://www.airwallex.com/en-us/operating-principles to see it in full.
HOW YOU'LL MAKE IMPACT
As the first Quality Engineer on the Risk Platform team, you’ll define what quality means for risk-critical systems, setting the standards, practices, and quality gates the team builds around. You’ll design and build automation, tooling, and infrastructure that help us ship changes quickly and safely across onboarding, transaction scoring, screening, and other risk decisioning flows. You’ll partner with Engineering and Product to establish reliable test data, isolated environments, contract testing, jurisdiction-specific coverage, and production verification for systems that make high-stakes decisions.
- Own the automation and regression coverage that helps risk decisioning flows remain reliable across onboarding, transaction scoring, screening, and related systems.
- Build stable test data and isolated environments that make automated testing deterministic and trustworthy.