High-Performance Trading Engineer
2 days ago
We are launching a new greenfield project at Stat Edge Investments, seeking talented trading engineers with 2-6 years of experience to help build our next-generation trading platform.
About the Role:This role focuses on developing low-latency systems with an event-driven architecture, ensuring direct connectivity to major exchanges, including CME, NSE, and Gift City. The ideal candidate should have experience in C++, Python, and a strong foundation in high-performance, event-driven architectures.
Key Responsibilities:- Collaborate with a dynamic team to design and develop a brand-new trading platform from the ground up.
- Implement low-latency, event-driven systems in C++ and Python, ensuring optimal performance and scalability.
- Build and maintain exchange adapters and connectivity solutions for markets like CME, NSE, and Gift City.
- Apply parallel programming and concurrency techniques to handle high data throughput and low-latency requirements.
- Utilize test-driven development (TDD) methodologies to ensure clean, maintainable, and reliable code.
- Work closely with the architecture team to integrate real-time data feeds, order processing, and trade execution in an event-driven framework.
- Monitor and improve system performance, troubleshooting and optimizing as needed to ensure ultra-low latency and stability.
$120,000 - $180,000 per year, depending on experience.
Requirements:- Experience in C++ (preferably C++11/14/17): Proficiency in building and optimizing low-latency systems.
- Python Skills: Competency in Python for automation, scripting, and data processing tasks.
- Event-Driven Architecture: Hands-on experience with event-driven design patterns, including experience with message brokers and real-time data processing.
- Low Latency and Parallel Programming: Familiarity with multithreading and concurrency, ideally within trading or real-time systems.
- Exchange Connectivity: Experience with FIX protocol and building adapters for exchange connectivity (CME, NSE, Gift City, etc.).
- Test-Driven Development (TDD): Proven experience in applying TDD principles to write clean, testable code.
- Troubleshooting and Performance Tuning: Strong debugging skills and experience optimizing for ultra-low latency.
- Financial Markets Knowledge: Familiarity with market data structures, order types, and trading lifecycle is a plus.
- Bachelor's or Master's Degree in Computer Science, Engineering, or a related technical field.
- Real-time Monitoring and Profiling Tools: Experience with monitoring, logging, and profiling tools for performance analysis.
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