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Staff Software Engineer (Backend), Growth

Singapore, Singapore · Job Posted February 21, 2026
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Job Description

Our Growth Team sits at the heart of Airwallex’s mission, focusing on user acquisition and strategic market expansion. We leverage data and cutting-edge technologies to craft seamless, intuitive experiences that help millions of users discover, engage with, and benefit from our products. From new-user funnels to onboarding optimizations, our Growth team is all about experimentation, rapid iteration, and driving sustainable business impact. Whether it’s designing scalable architectures for high-traffic pages, building robust A/B testing frameworks, or integrating global marketing platforms, the Growth team’s contributions directly shape how we attract and retain customers worldwide. Joining the Growth team means you’ll have a front-row seat to the most crucial stage of our product lifecycle and play a pivotal role in fueling the next wave of our global expansion.

Job Responsibility

  • Design and Build Scalable Systems
  • Enable Data-Driven Decisions
  • Collaborate and Innovate
  • Experiment and Iterate
  • Promote Security & Compliance

Requirements

  • Bachelor degree or above in computer science or engineering related majors
  • 5+ years of experience in modern engineering practices focused on continuous integration and quality engineering
  • Strong computer science fundamentals, solid understanding of OOP concepts
  • Experience domain driven design and event driven architectures
  • Deep working experience with high throughput / low latency / high available distributed systems
  • Cloud experience with GCP (preferred) or AWS (EC2, RDS, ELB, CloudFront, etc.) with Docker and Kubernetes
  • Familiarity with observability tooling such as Splunk, Grafana, and Prometheus

Nice to have

  • Experience with JVM based programming Java or Kotlin, familiar with Spring/Spring Boot
  • Experience solving GTM operations end-to-end
  • Knowledge of data warehousing, customer segmentation, and analytics tools
  • Familiarity with building internal or customer-facing products with AI & LLMs

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