About the Role

The Senior Engineer will be responsible for building a research platform that can run and evaluate a large number of trading agents. The focus will be on creating reliable simulations and reproducible experiments rather than promotional AI trading.

What You'll Do

Build event-driven market simulators and scalable multi-agent runtimes.
Implement strategy interfaces, backtesting, matching, fees, slippage, and risk models.
Orchestrate hundreds or thousands of agents with robust state, logs, and recovery.
Create experiment tracking, benchmarks, statistical checks, and leakage prevention.
Turn research ideas into testable, reproducible experiments.

Who You Are

Based in or able to work from Hangzhou with 5+ years in backend, distributed systems, or quantitative infrastructure.
Strong Python plus Go, Rust, C++, or high-performance data systems.
Practical knowledge of backtest bias, market microstructure, time series, and experiment design.
Able to explain and improve the tradeoffs between performance, correctness, and cost.

Requirements

Backend experience

5+ years in backend, distributed systems, or quantitative infrastructure.

Programming skills

Strong Python plus knowledge of Go, Rust, C++, or high-performance data systems.

Market knowledge

Practical knowledge of backtest bias, market microstructure, time series, and experiment design.

System reliability

Ability to explain and improve tradeoffs between performance, correctness, and cost.