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Airwallex

Runs global payments and accounts for businesses

Senior Software Engineer - Data Platform & AI Enablement

Platform EngineeringPosted on Nov 15
Full-timeSeattle, WA, USA$180k - $240k /yr

About the Job

Requirements

  • At least 5 years of experience building and operating large-scale distributed systems or infrastructure platforms.
  • Strong understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols.
  • Proficiency in Java, Kotlin, or Go.
  • Hands-on experience with, or a strong desire to work deeply in, technologies such as Kafka, Flink, Spark, Kubernetes, or OLAP engines.
  • Experience taking complex technical challenges from initial design through production stability.
  • Experience with performance tuning and systems internals, including state management, checkpointing, and exactly-once semantics.
  • A track record of providing technical leadership through architecture decisions, design reviews, or mentorship.
  • Curiosity about AI/ML infrastructure and real-time systems, with a focus on creating tangible business impact.

Responsibilities

  • Architect and build core infrastructure components, from foundational storage through high-availability service layers.
  • Lead technical decisions and custom development for high-performance distributed systems supporting real-time AI enablement and global financial data.
  • Improve system performance across state management, checkpointing, memory management, and exactly-once semantics to deliver accurate, low-latency processing at scale.
  • Build and integrate the Knowledge Platform, including scalable vector indexing, agentic workflows, and real-time data streaming.
  • Own the full software development lifecycle for batch and streaming systems processing petabytes of data across more than 30 global regions.
  • Raise engineering quality through shared tooling, software development kits, and automation frameworks that improve productivity across engineering.
  • Mentor engineers through design reviews, technical guidance, and delivery leadership.
  • Build the platform end to end, from core technologies to real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, and AI interaction history.
  • Develop evaluation, annotation, feedback, governance, permission, and freshness frameworks to operate AI reliably at global financial scale.
  • Enable teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to context and capabilities for decisions and workflows.

About the Company

Airwallex

Runs global payments and accounts for businesses

Airwallex runs a financial platform for businesses that sell, buy and operate across borders, from startups to large enterprises. Its multi-currency accounts let customers receive and hold money locally, then pay overseas suppliers without converting every sale into their home currency. Businesses also use its corporate cards and expense controls to manage spending, while online sellers accept customer payments through its checkout tools. Finance teams work in a web app, and developers embed the services in other software; Airwallex earns transaction fees and charges for paid software plans. Founded in Melbourne in 2015, Airwallex has dual headquarters in Singapore and San Francisco.

Company size
1,001-5,000
Company stage
Series H
Total funding
$1.7B
Headquarters
Singapore, Singapore
Founded
2015

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