Python Systems Engineer (HFT / Low Latency)

The Company: Our client is a prestigious technology-driven trading firm operating globally. They are leaders in the quantitative finance sector, known for leveraging massive datasets and cutting-edge infrastructure to maintain a competitive edge in the markets.

If you are passionate about computer systems engineering and want to work in an environment where nanoseconds matter, this is the place for you. You will join a high-caliber R&D team responsible for the backbone of algorithmic trading systems.\

The Role: As a Python Systems Engineer, you will bridge the gap between software development, network engineering, and data analysis. Your primary goal will be to enhance the observability and performance of the trading platform.

Instead of writing trading strategies, you will build the "eyes and ears" of the system—tools that allow the team to see exactly what is happening inside the network stack and the operating system in real-time.

Key Responsibilities:

• System Telemetry & Tooling: Design and build custom Python-based tools to harvest and aggregate telemetry data from distributed trading components.

• Network Analysis Pipelines: Architect efficient data pipelines specifically for processing raw network packet captures (PCAP) to analyze latency and throughput.

• Automated Diagnostics: Develop algorithms to automatically detect anomalies in traffic patterns and OS performance metrics before they impact trading.

• Infrastructure Optimization: Use your findings to recommend and implement changes in the trading stack (kernel tuning, network config) to shave off latency.

  
  

Requirements

Essential Skills:

• Expert Python: You write clean, efficient, and robust code (experience with scientific libraries is a plus).

• Linux Deep Dive: You aren't just a user; you understand how the OS handles processes, memory, and networking (Kernel bypass, interruptions, context switches).

• Networking Guru: Deep knowledge of the lower layers of the OSI model (TCP/IP, UDP, Ethernet, Multicast).

• Scripting: Proficiency in Shell/Bash for automation.

• Low-Level Awareness: Ability to read/understand C or C++ code to debug or interface with legacy components.

  
  

Desirable Experience:

• Background in analyzing large time-series datasets.

• Experience with network sniffing tools (Wireshark, tcpdump) and programmatic packet analysis.

• Previous exposure to FinTech, HFT, or electronic trading environments (though strong pure-tech candidates are also welcome).