Senior Software Engineer, Data Platform & AI Enablement

The Platform Engineering team is architecting Airwallex’s next-generation foundational infrastructure. We are moving beyond standard pipelines to build a high-performance, distributed ecosystem that powers real-time AI enablement and global financial data. We aim to push the boundaries of distributed storage, stream processing, and service-layer interfaces. We are looking for "Engineers’ Engineers"—builders who enjoy diving into the internals of distributed systems, optimizing JVM performance, and implementing robust architectural patterns like Lakehouse and real-time data.

Responsibilities

Lead technical decision-making and custom development for core infrastructure components; Perform deep-dive performance tuning and systems internals optimization; Develop and integrate the Knowledge Platform for AI-driven products; Own the full SDLC for high-performance distributed systems processing petabytes of data across global regions; Advocate for elite software engineering practices and contribute to shared tooling, SDKs, and automation frameworks; Mentor mid-level engineers through design reviews and technical leadership

Requirements

5+ years experience building and operating large-scale distributed systems or infrastructure platforms; Deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols; Proficient in Java, Kotlin, or Go; Hands-on experience (or desire to deep-dive) into internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines; Proven track record of taking 0-1 ownership of complex technical challenges; Intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems

Nice to have

Desire to deep-dive into internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines; Intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems