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Airwallex Logo Airwallex · IT - Software Development

Senior Software Engineer, Transaction Risk

Singapore, Singapore · Job Posted February 21, 2026
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Job Description

Our mission is to keep Airwallex’s products and services safe and secure. We continuously improve risk strategies and systems using modern technologies, including graph, machine learning, and LLMs/Gen AI, to detect and prevent fraud and abuse at scale.

Job Responsibility

  • Design, develop, and operate core transaction risk services and infrastructure using Kotlin/Java, supporting payment products and transaction systems
  • Own end-to-end delivery of key components and services on Airwallex’s microservice framework: design, implementation, testing, deployment, and observability
  • Build high-concurrency, highly available distributed services, optimizing latency, throughput, and reliability for production workloads
  • Collaborate with senior engineers and cross-functional partners to define technical solutions, APIs, and service boundaries
  • drive architectural improvements
  • Explore and evaluate new technologies (e.g., graph/streaming/ML/LLM related) and propose pragmatic upgrades aligned with business risk needs
  • Mentor engineers through code reviews, design discussions, and engineering best practices, improving team quality and delivery efficiency
  • Participate in on-call/incident response when needed, driving root-cause analysis and long-term remediation

Requirements

  • 5+ years experience in Java/Kotlin backend development, with proven delivery in internet-scale applications, large financial systems, or e-commerce platforms
  • 3+ years experience building systems for risk platforms and/or payment platforms
  • Bachelor’s degree in Computer Science or related fields (or equivalent practical experience)
  • Strong knowledge of Java ecosystem, including concurrency/multithreading, high-throughput IO (NIO), and network communication fundamentals
  • Solid foundation in distributed systems design: high concurrency, high load, high availability, resilience, and scalability
  • Strong engineering practices: performance tuning, service stability, data/query optimization, and production troubleshooting
  • Experience with Spring / Spring Boot and designing RESTful APIs
  • Familiarity with build tools such as Gradle/Maven
  • Familiarity with common data formats such as JSON

Nice to have

  • Strong domain knowledge in risk management, fraud detection, and fintech payment risk strategies
  • Experience with graph databases and graph-based pattern/anomaly detection
  • Experience applying machine learning for predictive risk analytics (model integration, feature engineering collaboration, etc.)
  • Experience with real-time streaming and event-driven architectures (e.g., Kafka, Flink) for low-latency detection and response
  • Experience with large-scale analytics and storage technologies (e.g., ClickHouse, Spark, NoSQL) for risk analysis and investigations
  • Incident response experience, including mitigation planning and post-incident improvement
  • Strong communication and collaboration skills in a cross-regional, cross-functional environment
  • Familiarity with LLM evaluation and safety practices (offline/online evals, red teaming, prompt injection defenses, PII handling, and guardrails) for enterprise use cases
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