Role Overview
Seeking an experienced Algorithmic Trading Engineer with deep expertise in futures trading
and algorithmic trading systems to operate, maintain, and enhance a proprietary Renkobased
trading platform for US index futures (ES, NQ, MES, MNQ). This role combines
hands-on coding with real-market execution responsibility.

Location: Remote (India)
Experience: 3–7 years

Type: Contract
About the Trading System
The Trading System is a production-grade algorithmic trading platform that:
Trades ES, NQ, MES, MNQ futures via automated strategies
Uses Renko chart-based logic with energetic brick sizing
Integrates with Interactive Brokers (IB) for market data and execution
Manages trades via a state machine–driven engine (multiple position states)
Incorporates volatility analysis using VIX/VXN
Includes a full back testing framework against historical tick data
Uses a queue-based execution layer for robust order handling

Key Responsibilities
1. Live System Execution & Operations
Deploy, configure, and run the trading system in paper and live environments




Set up and maintain MySQL schemas, connections, and performance
Configure and monitor IB TWS/Gateway sessions
Oversee live strategy execution during US market hours (9:30 AM–4:00 PM ET)
Monitor system health and ensure near-continuous uptime during trading
Diagnose and resolve issues with connectivity, data feeds, and order execution
2. Strategy Maintenance & Enhancements
Understand and maintain the V221GLi strategy and related versions (V3, V4, V221, etc.)
Adjust parameters based on backtests and changing market conditions
Implement new strategy versions within the existing modular architecture
Debug and fix issues in entry/exit logic, state transitions, and trade management
Optimize Renko brick logic, ATR sizing, and indicator computations
3. Backtesting & Performance Analysis
Run comprehensive backtests using historical data (e.g., historical_ticks)
Analyze results, generate P&L; and performance reports, and validat

📌 Algorithmic Trader (India)
🏢 Drillo.AI
📍 India