Airwallex - Senior Software Engineer, Data Platform & AI Enablement
Requirements
• First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols. • First Principles Thinking: • 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. • The "Builder" Stack: • Java, Kotlin, or Go • 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. • Ownership Mindset: • Curiosity & Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact. • Curiosity & Impact: • Applicant Safety Policy: Fraud and Third-Party Recruiters • To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. • Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. • Equal opportunity • Equal opportunity
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. • You might be a great fit if you: • 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.
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