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Engineering Lead/Manager (Risk)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Lead/Manager (Risk): Building and scaling real-time fraud detection systems and client-facing risk management products with an accent on high-throughput distributed architectures and organizational growth. Focus on optimizing detection rates, reducing false positives, and leading high-performing engineering teams to secure global financial operations.

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

  • Define the strategy, roadmap, and delivery for real-time detection systems and fraud management products.
  • Scale and lead a high-performing engineering organization, managing both managers and senior individual contributors.
  • Own the architecture and system quality to ensure reliability and scalability under high load.
  • Partner with PM, Design, and Ops teams to prioritize the backlog and improve fraud detection rates.
  • Drive engineering excellence by instituting standards for code quality, reviews, and automated checks.
  • Manage operational excellence, including incident response, observability, and capacity planning.

Requirements

  • 8+ years in back-end engineering and 2+ years in engineering management.
  • Proven experience owning complex, distributed systems in production.
  • Proficiency in Java, including multi-threading, high-concurrency patterns, and network programming.
  • Deep experience with high-availability and high-throughput architectures.
  • Proficiency with Spring / Spring Boot, Docker, and Kubernetes.
  • Background in Risk Management or Fintech product engineering.

Nice to have

  • Experience leading cross-disciplinary teams (Frontend, Backend, Data/ML, SRE).
  • Working knowledge of machine learning in production and strong data analysis skills.
  • Polyglot engineering experience with Kotlin, Scala, Python, or Golang.
  • Experience with Cassandra, Redis, Kafka, Flink, or Spark.
  • Cloud expertise with AWS, GCP, or Alibaba Cloud.

Culture & Benefits

  • Opportunity to work at a high-growth company valued at $8 billion with a global presence.
  • Collaborative environment that values founder-like energy and true ownership.
  • Focus on accelerated learning and professional growth.
  • Culture of inclusion, excellence, and the use of AI to solve complex problems faster.

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