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Airwallex is a unified payments and financial platform serving over 250,000 businesses globally, including Brex, Rippling, Navan, and Qantas. The company is valued at $11 billion and backed by leading investors including Sequoia, Visa, and Mastercard.
The Ecosystem team builds the platforms and integrations that connect Airwallex with external software systems. This includes strategic accounting integrations, marketplace connections, payment plugins, open-banking integrations, and the infrastructure powering public APIs for third-party developers.
As a Senior Software Engineer on this team, you will lead high-level design and long-term technical roadmap for the App Marketplace or Extension Framework. You'll design and implement core SDKs, webhooks, and UI-extension patterns enabling third-party developers to embed functionality directly into Airwallex. You'll establish rigorous coding standards, observability patterns, and security protocols across the team.
Key responsibilities include:
- Platform Architecture & Strategy: Lead design and technical roadmap for the App Marketplace or Extension Framework
- Extensibility Frameworks: Design SDKs, webhooks, and UI-extension patterns for third-party integration
- Technical Excellence: Establish coding standards, observability, and security protocols
- Developer Experience: Build documentation, sandboxes, and tooling for external developers
You'll collaborate with backend engineers, product managers, designers, and go-to-market teams to ship secure, reliable experiences that simplify financial operations and unlock new use cases.
Minimum qualifications: Bachelor's in Computer Science or related field; 5+ years developing internet applications, large financial systems, or e-commerce platforms; proficiency in Java, Kotlin, C++, Python, or similar languages; direct experience building or maintaining public-facing developer platforms, app marketplaces, or extension frameworks.
Preferred: Deep expertise in Domain-Driven Design (DDD); hands-on experience with Docker, Kubernetes, and observability tools; experience integrating AI/LLM models for automation.
