Senior Software Engineer, Data Platform & AI Enablement

Responsibilities

• Architect and build core infrastructure components, ranging from foundational storage to high-availability service layers.
• Optimize system internals including state management, checkpointing, and exactly-once semantics for millisecond-level accuracy.
• Develop the "Knowledge Platform" to enable AI-driven products through scalable vector indexing and real-time data streaming.
• Own the full SDLC for high-performance distributed systems processing petabytes of data across 30+ global regions.
• Advocate for elite engineering practices by contributing to shared tooling, SDKs, and automation frameworks.
• Provide technical leadership and mentorship to mid-level engineers through design reviews and project guidance.

Requirements

• 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.
• Proficiency in Java, Kotlin, or Go.
• Deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols.
• Hands-on experience with technologies such as Kafka, Flink, Spark, Kubernetes, or OLAP engines.
• Proven track record of taking 0-1 ownership of complex technical challenges from design to production.

About the Company

Airwallex is a unified payments and financial platform for global businesses. Powered by proprietary infrastructure and software, we empower over 200,000 businesses worldwide—including Brex, Rippling, and Qantas—to manage business accounts, payments, spend management, and treasury at a global scale. Headquartered in Melbourne with a global team of over 2,200 people, we are building the future of global banking.