Senior Software Engineer (Data Platform & AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (Data Platform & AI): Building a high-performance distributed ecosystem for real-time AI enablement and global financial data with an accent on distributed storage, stream processing, and service-layer interfaces. Focus on optimizing JVM performance, implementing Lakehouse architectures, and developing scalable vector indexing for AI-driven products.
Location: Singapore
Company
Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for accounts, payments, and treasury management.
What you will do
- Lead technical decision-making and development of core infrastructure and high-availability service layers.
- Optimize systems internals, including state management and exactly-once semantics, to ensure millisecond-level accuracy at global scale.
- Develop the Knowledge Platform using scalable vector indexing and agentic workflows to enable AI-driven products.
- Own the full SDLC for high-performance distributed batch and streaming systems processing petabytes of data across 30+ regions.
- Contribute to shared tooling, SDKs, and automation frameworks to enhance company-wide engineering productivity.
- Mentor mid-level engineers through design reviews and technical leadership.
Requirements
- 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.
- Deep understanding of CS fundamentals, including memory management and networking protocols.
- Proficiency in Java, Kotlin, or Go.
- Hands-on experience with internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines.
- Proven track record of taking 0-1 ownership of complex technical challenges.
- Must be based in Singapore
Culture & Benefits
- Opportunity to work in a high-growth environment valued at US$8 billion.
- Culture of ownership, first-principles thinking, and accelerated learning.
- Collaboration with a global team of 2,200+ innovative tech professionals.
- Focus on utilizing AI to work smarter and solve complex, high-visibility problems.
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