Senior Software Engineer - Low-Latency Trading Systems (Python)
Qode Advisors LLP (company site, opens in a new tab)3+ yrsMumbaiOn-siteDirect career pageEst. 12–24 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize Python-based trading infrastructure including market data processing, order execution logic, and strategy runners with focus on low-latency and high throughput.
- Develop and maintain tooling for research-to-production workflows, simulation, backtesting, monitoring, and risk control in a production trading system.
- Profile and resolve performance bottlenecks and participate in incident response and on-call rotations for live trading platforms.
Minimum Requirements
- 3+ years professional software engineering experience with significant exposure to performance-sensitive or production trading systems.
- Expert-level Python skills including asyncio, concurrency/parallelism, NumPy/pandas, and performance optimization tools like Cython or Numba.
- Solid understanding of networking fundamentals (TCP/UDP, multicast) and experience with exchange connectivity or market data protocols (FIX, WebSocket, REST, or proprietary).
- Degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related field (or equivalent experience).
Ideal Candidate Profile
- Strong background in building and optimizing low-latency, high-performance trading systems using Python in production environments.
- Experience collaborating with quantitative researchers and traders to implement and optimize strategy logic for live deployment.
- Prior exposure to high-frequency trading, market-making, or proprietary trading environments considered a plus but not mandatory.