C++ Developer – Trading Logic, WebSockets & Ultra Low Latency

We are looking for a highly skilled C++ Developer with expertise in trading logic development, WebSockets, and ultra-low latency systems. The ideal candidate should have experience building high-performance trading applications, integrating with financial exchanges, and optimizing real-time data processing.

Key Responsibilities:

Design and develop high-performance trading algorithms in C++ with ultra-low latency.

Implement WebSocket-based real-time data streaming and order execution.

Optimize network communication, order book processing, and market data handling.

Work on multi-threading, concurrency, and high-frequency trading (HFT) optimizations.

Develop frontend components for real-time trading dashboards (optional, but preferred).

Integrate trading APIs with various crypto, forex, or stock exchanges.

Ensure system reliability, stability, and fault tolerance for live trading environments.

Required Skills & Experience:

Strong C++ (C++11/14/17/20) development experience.

Expertise in low-latency programming and performance tuning.

Proficiency in WebSockets, TCP/IP, and real-time data streaming.

Experience with multi-threading, memory management, and optimization.

Understanding of financial markets, order books, and trading execution.

Familiarity with market data protocols (FIX, WebSocket, REST API, etc.).

Experience with Linux-based development and networking concepts.

Knowledge of frontend technologies (React, WebSockets, TradingView) is a plus.

Nice to Have:

Experience in high-frequency trading (HFT) or quantitative trading.

Prior work on exchange connectivity and low-latency networking.

Understanding of blockchain, crypto trading, and smart contract interactions.

Familiarity with GPU acceleration (CUDA) or FPGA-based trading systems.

Why Join Us?

Work on cutting-edge high-performance trading systems.

Collaborate with a passionate team working on innovative fintech solutions.

Competitive salary and performance-based incentives.