I am looking for an experienced Quantitative Developer to set up and optimize a professional trading infrastructure using Hummingbot. The goal is to deploy a high-frequency market-making / arbitrage operation with institutional-grade stability. Key Responsibilities: Infrastructure: Deploy Hummingbot via Docker on a low-latency vps (aws/gcp/digitalocean). Connectors: Configure API/Websocket connections for [Insert Exchanges, e.g., Binance, Bybit,
Gate.io]. Strategy Customization: Implement and fine-tune "Pure Market Making" or "Cross-Exchange Market Making" using V2 Strategies / Controllers. Risk Management: Develop a robust "Kill-Switch" and inventory skew logic to prevent heavy losses during high volatility. Dashboard: Set up the Hummingbot Dashboard for real-time monitoring and Telegram bot alerts. Technical Requirements: Expertise in Python (Cython knowledge is a plus). Deep understanding of Docker and Linux server administration. Proven experience with Market Microstructure (Order Books, Spreads, Slippage, and Latency). Previous experience specifically with the Hummingbot framework is mandatory.
Delivery term: Not specified