Staff Software Engineer (Risk)

TL;DR

Staff Software Engineer (Java/Risk): Leading the technical direction of the real-time risk detection platform and fraud management products with an accent on distributed event-driven architectures and low-latency system design. Focus on scaling core risk services, integrating ML models into production, and ensuring high system reliability under heavy throughput.

Location: Based in Singapore

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

• Lead the technical direction of core risk services, including real-time detection, decision engines, and risk tooling.
• Design and evolve system architecture for distributed, event-driven risk systems such as microservices, streaming pipelines, and feature stores.
• Own end-to-end delivery of complex initiatives, from high-level design and technical specifications to rollout and improvement.
• Write high-quality production code primarily using Java and Spring Boot while driving RFCs and architecture discussions.
• Collaborate with Product and Engineering managers to shape the roadmap and translate risk objectives into engineering solutions.
• Mentor senior engineers and champion engineering excellence in observability, reliability, and security across the Risk Platform.

Requirements

• 10+ years of backend engineering experience, with a strong track record of operating complex distributed systems in production.
• Deep experience in risk, fraud, or fintech systems (e.g., payments, banking).
• Strong proficiency in Java, including multi-threading, high-concurrency patterns, and performance tuning.
• Practical experience with Spring Boot, Docker, and Kubernetes in production environments.
• Ability to lead complex technical initiatives and influence stakeholders without formal management authority.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Nice to have

• Experience with rule engines, feature stores, and real-time stream processing (Kafka, Flink, or Spark).
• Working knowledge of ML in production, including model lifecycles and feature engineering.
• Polyglot experience with Kotlin, Scala, Python, or Golang.
• Cloud experience with AWS, GCP, or Alibaba Cloud.
• Familiarity with PCI DSS and SOC 2 regulatory standards.

Culture & Benefits

• Environment for "successful builders" with founder-like energy, emphasizing true ownership and accelerated learning.
• Culture of utilizing AI to work smarter and solve problems faster.
• Opportunity to tackle complex, high-visibility problems within a global banking context.
• Focus on a first-principles approach to decision-making, balancing speed and rigor.