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Описание вакансии
Текст:
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.
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