Staff Software Engineer Backend (Fintech)

TL;DR

Staff Software Engineer Backend (Fintech): Leading the design and implementation of a next-generation billing platform with an accent on high-concurrency, distributed architecture, and scalable financial systems. Focus on building robust microservices, optimizing system performance, and mentoring technical teams to deliver business-critical payment solutions.

Location: Must be based in Singapore or Shanghai, China

Company

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

What you will do

• Lead the planning, design, and implementation of the core engineering billing system.
• Collaborate with product teams to translate business needs into scalable architecture and core function development.
• Design and develop high-performance components using the company’s microservice framework.
• Introduce innovative technologies and solutions to enhance system capabilities.
• Manage and mentor the technical team while establishing high-quality internal coding standards.

Requirements

• Must be based in Singapore or Shanghai
• 8+ years of core Java development experience.
• 5+ years of experience in large-scale internet, financial, or e-commerce platforms.
• 1+ year of experience in payment platform development.
• Proficiency in Java 8, multi-threading, high concurrency, and distributed system design.
• Strong knowledge of Spring/Spring Boot, Docker, and RESTful API design.
• Bachelor’s degree in Computer Science or a related field.

Nice to have

• Experience with international clearing, settlement, or foreign exchange transactions.
• Proficiency in Kotlin, Scala, Python, or Golang.
• Experience with cloud platforms like AWS or Aliyun.
• Familiarity with Kubernetes, Cassandra, or Redis.

Culture & Benefits

• Opportunity to work on high-visibility, complex financial systems.
• Collaborative environment with cross-functional teams across global offices.
• Focus on accelerated learning and true ownership of products.
• Emphasis on using AI to solve problems and work smarter.