About Us:
iRage is one of India's leading high-frequency trading firms. We build and own everything in-house, from ultra-low-latency execution to full trading infrastructure. Our systems deliver some of the lowest latencies in the market, with order-send speeds under 100 nanoseconds. Our stack is fully in-house: custom FPGA pipelines, kernel-bypass networking, in-house exchange gateways, and a C++ codebase we own end-to-end from market data ingestion to order entry and risk. But great technology alone doesn't move markets. Our quant and tech teams work in lockstep, and the results speak for themselves. Millions of trades. Every day. At lightning speed. iRage is where that tech expertise meets real market impact, at scale, in one of the world's fastest-growing trading ecosystems.
Location: Mumbai
Position Overview:
We are seeking a highly skilled Senior Developer / Senior Quantitative Developer to take ownership of core systems that power our high-frequency trading strategies. The role is centered on hands-on, performance-critical C++ engineering, with significant scope to contribute to strategy execution, monitoring, and performance analysis. We are open to candidates from a pure low-latency systems background as well as those with prior quant or markets exposure; we’ll invest in onboarding you on the markets side if needed.
Key Responsibilities:
Engineering & Systems Ownership:
- Own production-quality, latency-critical C++ for our trading systems. Write the code that determines whether a strategy is profitable.
- Own end-to-end latency budgets across order entry, market data, and risk; profile, identify bottlenecks, and design changes that move the numbers.
- Design and build new infrastructure: backtesting and simulation tooling, exchange connectivity, real-time monitoring, and alerting.
- Partner with quant researchers to take new ideas from prototype to production, and with the FPGA / hardware team to extend what runs in silicon.
Strategy Performance & Analysis:
- Investigate P&L drivers on tick-by-tick data; identify what works, what doesn’t, and why.
- Design and run A/B tests for strategy and execution improvements; build the reporting and attribution that lets the team see what is happening.
- Implement risk controls and position limits informed by quantitative analysis, in close collaboration with the quant team.
Production Reliability:
- Keep production trading systems running smoothly across sessions: starts, stops, intraday adjustments, and incident response.
- Build the observability and tooling that make anomalies obvious and recoverable, not heroic.
Educational Background:
- B.Tech / Dual Degree (B.Tech + M.Tech or 5 year integrated M.Sc) from a premium IITs (any branch).
- Candidates from non-IIT institutions are welcome to apply if they can demonstrate either (a) meaningful production experience in a quant developer role at a trading firm, or (b) extraordinary achievements in low-latency programming, such as kernel-bypass networking, lock-free systems, hardware-aware C++ optimisation, or FPGA-based trading or networking infrastructure.
Professional Experience:
- 5+ years of hands-on experience building low-latency, performance-critical C++ systems on Linux. Strong command of modern C++ (C++17 / 20), multithreading, memory and cache behaviour, and profiling tools.
Good to Have but not necessarily required. Do not let the absence of these stop you from applying:
- Strong understanding of statistics, probability, time series, and market microstructure
- Experience with tick data analysis, strategy optimization, and microsecond execution
- Proficiency in Python/R, pandas, and numpy for quantitative research and analysis
- Exposure to FPGA / hardware-accelerated trading, kernel-bypass networking (Solarflare, DPDK), or other ultra-low-latency techniques.
