Responsibilities

• Own the full development lifecycle — requirements, design, coding, testing, and deployment — for low-latency, high-throughput trading systems.
• Collaborate with Quant/Research teams to build and enhance pricing, hedging, and delta-residual models.
• Work with trading and product teams to develop new products and improve existing ones.
• Build and maintain trading infrastructure to handle large-scale positions, quotes, and orders.
•  Implement and improve risk management and position-monitoring tools; identify and resolve system bottlenecks.
• Mentor junior developers; lead design and code reviews.
• Integrate AI coding agents (e.g. Claude Code) into daily workflows — covering project planning, technical design, code generation, testing, and code/security review.
• Be available for flexible hours to support production incidents when needed.
  

Requirements:

• 2+ years of experience in the full lifecycle of Java and/or Python application development.
• Strong grasp of software design, architecture, and system integration.
• Solid knowledge of event processing, multi-threading, enterprise integration patterns, REST/web services.
• Hands-on experience with Spring / Spring Boot, MyBatis, MySQL, Redis, Kafka, and cloud-native deployment.
• Experience building high-availability, high-throughput, low-latency systems.
• Practical experience with AI coding agents (Claude Code, Cursor, Copilot, or similar) in production workflows.
• Fluency in English for coordination with overseas partners and stakeholders.
• Degree in Computer Science, Engineering, Mathematics, or a related field preferred.

Nice to Have

• Experience at trading firms, investment banks, hedge funds, brokerages, or crypto exchanges.
• Understanding of derivatives products — options pricing, Greeks, hedging strategies.
• Familiarity with agent-driven workflows: writing CLAUDE.md / rules files, building custom skills, integrating MCP servers (Jira, Confluence, GitHub), and designing review loops for reliable agent output.
• Contributions to internal developer tooling, agent skills, or AI-assisted engineering productivity.