Senior Backend Engineer (Golang)

**About Us
**Longbridge is an AI-powered online brokerage that serves global investors with optimal trading experience through building worldwide trading infrastructure and networks. Established in March 2019, Longbridge holds 22 financial licenses and qualifications across the United States, Singapore, Hong Kong, New Zealand and other regions, having secured over US$150 million in strategic investments from major financial and investment institutions. Its subsidiary, Longbridge Securities (Hong Kong) Limited (CE No.: BPX066), holds Type 1, 2, 4, and 9 licenses issued by the Hong Kong Securities and Futures Commission (SFC).

What You'll Do

• Design and develop core backend systems for our wealth management platform, supporting portfolio management, asset allocation, NAV/performance calculation, and rebalancing capabilities
• Build and optimize shared components within the wealth management system to improve development efficiency and reusability across our wealth management product lines
• Identify performance bottlenecks and reliability gaps in large-scale computation and data processing workflows (e.g. batch NAV calculation, portfolio rebalancing) to improve system stability and scalability
• Ensure data accuracy and consistency across account, portfolio, and calculation modules, and continuously optimize system performance
• Explore applying AI Agent technology to wealth management scenarios (e.g. investment advisory, portfolio insights) to enhance system intelligence

What We're Looking For

• 5+ years of backend development experience, including 2+ years working in Go, with high-performance server-side architecture design
• Hands-on experience building microservices and high-concurrency/high-throughput production systems
• Solid understanding of data structures, algorithms, and design patterns
• Familiar with Linux/Unix environments and common middleware internals
• Professional written and verbal communication skills in English

Nice to Have

• Domain knowledge in wealth management, asset management, or investment products (e.g. portfolio management, fund products, robo-advisory)
• Proficiency in Java, Python, or Rust
• Familiarity with AI development, including AI Agent development and underlying principles