Senior Software Engineer — Low-Latency Trading Systems (Python)

Qode Advisors Llp; Mumbai; On-site; INR 1,000,000 - 3,000,000; Full time

Job summary

Qode Advisors Llp in Mumbai is looking for a Senior Software Engineer to develop and optimize high-performance Python-based trading systems. This role involves designing trading infrastructure, ensuring low latency and high throughput, and developing robust monitoring and risk-control systems.

Candidates should have over 3 years of experience in software engineering, particularly in performance-sensitive trading environments, with strong skills in Python and knowledge of networking fundamentals. The position offers a full-time schedule.

Qualifications

• 3+ years of experience in software engineering focused on high-performance systems.
• Expertise in Python, including asyncio, and performance profiling tools.
• Solid understanding of data structures and algorithms.

Responsibilities

• Design, build, and maintain trading infrastructure in Python.
• Optimize code for low latency and high throughput.
• Develop monitoring and risk-control systems for trading.

Skills

Expert-level Python

Performance-sensitive system design

Networking fundamentals (TCP/UDP)

Asyncio ecosystem

Performance profiling

Education

Degree in Computer Science or related field

Tools

NumPy

Cython

ZeroMQ

Job description

3+ Years

Full-Time

INR 10 - 30

About the Role

We are a proprietary trading and market‑making firm operating across global markets, executing strategies that depend on fast, reliable decision‑making and execution. We're looking for a Senior Software Engineer to design, build, and optimize the Python‑based systems that power our trading operations — from market data processing and order execution to risk and monitoring.

This is a hands‑on engineering role focused on building high‑performance, production‑grade Python systems for a latency‑sensitive trading environment. You'll work closely with quantitative researchers, traders, and infrastructure engineers to keep our systems fast, reliable, and competitive.

What You'll Do

• Design, build, and maintain trading infrastructure in Python, including market data handlers, order execution logic, and strategy runners
• Optimize Python code paths for low latency and high throughput using techniques such as asyncio, multiprocessing, vectorization (NumPy), and just‑in‑time compilation (Cython, Numba, or similar)
• Build and maintain tooling for research‑to‑production workflows, enabling quants to move strategies into live trading quickly and safely
• Develop and improve simulation, backtesting, and replay frameworks to validate strategy and infrastructure changes
• Build robust monitoring, alerting, logging, and risk‑control systems for live trading
• Profile production systems to identify and resolve performance bottlenecks
• Collaborate with quant researchers to understand strategy logic and ensure efficient, correct production implementations
• Participate in incident response and on‑call rotation for production trading systems
• Conduct code reviews, mentor junior engineers, and help shape engineering standards and practices
• Continuously evaluate new tools, libraries, and techniques relevant to high‑performance Python systems

What We're Looking For

• 3+ years of professional software engineering experience, with significant time spent on performance‑sensitive or production trading systems
• Expert‑level Python, including deep familiarity with the asyncio ecosystem, concurrency/parallelism patterns, and performance profiling
• Experience writing performant Python using NumPy/pandas, and optimizing hot paths with Cython, Numba, or similar tools
• Solid understanding of networking fundamentals (TCP/UDP, multicast) and how they affect latency in trading systems
• Experience with exchange connectivity or market data protocols (e.g., FIX, WebSocket APIs, REST APIs, proprietary feeds)
• Strong fundamentals in data structures, algorithms, and systems‑level performance optimization
• Comfortable working in a fast‑paced, low‑latency production environment with high accountability
• Experience with profiling and performance analysis tools (cProfile, py‑spy, line_profiler)
• Degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field (or equivalent experience)

Nice to Have

• Prior experience at an HFT, market‑making, or proprietary trading firm
• Experience interfacing Python with C/C++ extensions (pybind11, ctypes, Cython)
• Experience with high‑performance messaging systems (ZeroMQ, Kafka, Redis pub/sub)
• Exposure to colocation environments, bare‑metal infrastructure, and network tuning
• Familiarity with futures, options, equities, or crypto market microstructure