Software Engineer, Spend

You will design and build the backend services that power Airwallex’s global financial platform, with a specific focus on the Spend team under the Accounting Hub. You will work on services that underpin how customers track, reconcile and account for spend transactions, ensuring accuracy, reliability and compliance of financial data. You will own features end to end, from technical design and implementation through to production operation, while helping shape the long-term architecture of our backend systems in the Spend and Accounting domains. You will partner closely with product, infrastructure and other engineering teams, and play a key role in raising the engineering bar through high-quality code and technical mentorship.

Responsibilities

Design and implement scalable, secure backend services that power the Cards product; Contribute to the architecture and long-term technical vision of our backend systems; Own end-to-end delivery of new features and improvements—from design to production; Write high-quality, testable code with attention to reliability and maintainability; Promote and uphold engineering best practices, including observability and API design; Collaborate with cross-functional teams including product, infrastructure, and design; Provide technical mentorship and support the growth of other engineers on the team

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field; 2+ years of professional software engineering experience; Hands-on experience designing and building backend systems and APIs in production; Strong computer science fundamentals, including algorithms, data structures, and distributed systems; Proficient in at least one backend language (e.g., Java, Kotlin, Go, Python); Solid understanding of REST API design and backend frameworks (e.g., Spring Boot); Experience working with cloud infrastructure (e.g., AWS, GCP) and container orchestration (e.g., Kubernetes); Strong focus on performance, reliability, and code quality

Nice to have

Familiarity with observability and monitoring tools (e.g., Grafana, Prometheus, Splunk)