Senior Software Engineer, Data and AI Infrastructure

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

You’ll design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms. You’ll develop scalable platforms for streaming, batch processing, and real-time data workloads using technologies such as Kafka, Spark, and Flink, while building AI infrastructure including gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.

• Improve the scalability, reliability, efficiency, and cost visibility of production data and AI workloads.

• Build self-service capabilities that help data, AI, and application teams deploy and operate workloads safely and independently.

• Partner across engineering to turn emerging data and AI requirements into durable platform capabilities.

• Deliver the technical foundations for the next generation of data and AI infrastructure.