A leading systematic investment platform is seeking Infrastructure Engineers to build and scale high-performance research and trading systems. This role spans low-latency trading infrastructure, simulation platforms, and data engineering, working closely with researchers and traders to support alpha generation and live trading.
Key Responsibilities
- Develop and optimise low-latency, high-throughput trading and research systems (C++ / Python)
- Build scalable data pipelines and infrastructure for large financial datasets
- Support development of backtesting, simulation, and model evaluation tools
- Work closely with researchers and traders to deliver performance-driven solutions
- Maintain high engineering standards through code reviews, testing, and documentation
- Continuously improve system performance, reliability, and scalability
Key Requirements
- Degree in Computer Science or related STEM field
- 2+ years of experience in C++ development within performance-critical environments
- Strong knowledge of up-to-date C++ (C++17/20) and systems-level programming
- Strong understanding of Linux systems and distributed architectures
- Experience building low-latency / high-throughput systems
- Working knowledge of Python (NumPy, SciPy)
- Exposure to market data, time-series systems, or trading infrastructure is a plus
Interested parties please send your resume to Abhishrut Banerjee at .
Regrettably, only shortlisted candidates will be contacted.