Роль с огромным влиянием в успешном финтех-единороге: современный стек и понятные технические вызовы в высоконагруженных системах управления рисками.
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Современный и передовой стек
Трендовый домен
Четкий масштаб роли
Высокий потенциал роста
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Текст:
Hirify AI/Оригинал
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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