Senior Software Engineer, Data Platform & AI Enablement

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, spend management, treasury, and embedded finance. The Platform Engineering team is seeking a Senior Software Engineer to build and optimize distributed infrastructure for real-time AI enablement and global financial data, including storage, stream processing, service layers, and knowledge platform capabilities. The role also involves technical leadership, engineering tooling, and mentoring mid-level engineers.

Responsibilities:

• Architect & Build: Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers
• Systems Optimization: Deep-dive into performance tuning and systems internals—such as state management, checkpointing, and exactly-once semantics—to ensure millisecond-level accuracy at global scale
• AI Infrastructure: Develop and integrate the "Knowledge Platform," enabling AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming
• Distributed Systems at Scale: Own the full SDLC for high-performance distributed systems (batch and streaming) that process petabytes of data across 30+ global regions
• Engineering Rigor: Advocate for elite software engineering practices, contributing to shared tooling, SDKs, and automation frameworks that enhance the productivity of engineering teams company-wide
• Mentorship: Act as a technical beacon and mentor for mid-level engineers, driving project delivery through design reviews and technical leadership

Requirements:

• • Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms
• • First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols
• • The "Builder" Stack: Are proficient in Java, Kotlin, or Go
• You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines
• • Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability
• • Curiosity & Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact