Senior Software Engineer, Data Platform – AI Enablement

🕒 March 31

🏢🏡 San Francisco – Hybrid

💵 $158k - $260k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Airwallex

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

💳 Fintech

💸 Finance

Fintech • Finance • Payments

Airwallex is a fintech company that provides leading technology solutions to manage global payments, treasury, and financial operations for businesses. It offers a comprehensive suite of financial services including business accounts, spend management tools, payment solutions, and embedded finance components to build custom financial products. Airwallex's platform supports multi-currency transactions, interbank FX rates, and global transfers, aiming to simplify financial operations and unlock growth opportunities for over 150,000 businesses worldwide. The company is committed to providing safe, reliable, and compliant financial services with a strong technological infrastructure.

📋 Description

• Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers. • 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. • Develop and integrate the Knowledge Platform, enabling AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming. • Own the full SDLC for high-performance distributed systems (batch and streaming) that process petabytes of data across 30+ global regions. • Advocate for elite software engineering practices, contributing to shared tooling, SDKs, and automation frameworks that enhance the productivity of engineering teams company-wide. • Act as a technical beacon and mentor for mid-level engineers, driving project delivery through design reviews and technical leadership.

🎯 Requirements

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

🏖️ Benefits

• medical, dental, and vision insurance • a 401(k) plan • short-term and long-term disability • basic life insurance • well-being benefits • 20 paid days of vacation • 12 paid days of company holidays in a calendar year