Senior Java Backend Engineer — Wallet & Blockchain

OKX; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive total compensation

Comprehensive insurance coverage for你r

More benefits to be announced

Job summary

OKX Wallet is seeking a Staff/Senior Java Engineer to own core wallet backend modules in a high-concurrency, multi-chain environment. You will work on address management, asset synchronization, transaction construction, on-chain broadcasting, and nonce management, ensuring performance, security, and reliability.

You will design and implement cross-chain interactions, on-chain life cycles, incident response, and collaboration with upstream and downstream teams while applying AI-assisted

Qualifications

• 5-10 years of Java backend experience with strong fundamentals.
• Ability to design and build medium-to-large backend modules.
• Experience with high-concurrency systems and reliability concerns.
• Familiarity with blockchain or wallet-related concepts is a plus.

Responsibilities

• Own core wallet backend modules and ensure stability, performance, and maintainability.
• Build transaction and on-chain interaction scenarios across chains.
• Support multi-chain integration and onboarding of new public chains.
• Ensure stable operation with monitoring, alerting, and incident response.
• Drive projects end-to-end and collaborate with cross-functional teams.
• Apply AI tools to assist development while maintaining quality.

Skills

Java backend fundamentals

Spring Boot

Spring Cloud

MyBatis

System design

Concurrency

Security awareness

Tools

JVM performance

Job description

OKX Wallet is seeking a Staff/Senior Java Engineer to own core wallet backend modules in a high-concurrency, multi-chain environment. You will work on address management, asset synchronization, transaction construction, on-chain broadcasting, and nonce management, ensuring performance, security, and reliability.

You will design and implement cross-chain interactions, on-chain life cycles, incident response, and collaboration with upstream and downstream teams while applying AI-assisted