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Senior Python Developer / Production Engineer (HFT) - Singapore

BAH Partners Singapore
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AI Summary

Join a Tier 1 global proprietary trading firm as a hybrid Python Developer/Production Engineer specializing in high-frequency trading (HFT). You’ll own live trading systems, diagnose production issues, and optimize performance-critical Python/C++ workloads while collaborating with quant researchers. Requires 2–5+ years in production engineering, strong Python/C++ skills, and hands-on Linux/Bash expertise.

Key Highlights
Hybrid role spanning research-to-live-trading lifecycle in high-frequency trading (HFT)
Ownership of live trading systems, production troubleshooting, and performance optimization
Strong Python/C++ and Linux/Bash skills required with GPU/ML optimization as a plus
Key Responsibilities
Own and troubleshoot live trading and research systems across the full research-to-live-trading lifecycle
Diagnose and resolve production issues at their source while improving monitoring, reliability, and research pipelines
Develop and optimize performance-critical systems in Python and C++, with a focus on GPU/ML workloads and automation of operational processes
Technical Skills Required
Python C++ Linux
Benefits & Perks
Highly competitive compensation
Relocation and visa sponsorship available
Nice to Have
Experience with GPU/ML optimization
Kubernetes, Docker, Terraform, CI/CD, or distributed systems
Experience supporting live trading or real-time systems

Job Description


Python Developer / Production Engineer/ HFT | Tier one Global prop trading firm | Singapore


I’m working with a leading global proprietary trading firm looking for a strong engineer to join one of its high-frequency trading teams in Singapore.


This is a hybrid development + production engineering role, sitting across the full research-to-live-trading lifecycle.


What you’ll do:

  • Own and troubleshoot live trading and research systems
  • Diagnose production issues and fix them at source
  • Improve monitoring, reliability and research pipelines
  • Develop performance-critical systems in Python/C++
  • Optimise ML/GPU workloads and automate operational processes
  • Work closely with Quant Researchers in a highly technical environment


What they’re looking for:

  • 2–5+ years in production engineering / trading technology
  • Strong Python, ideally with C++
  • Strong Linux/Bash and hands-on debugging skills
  • Experience supporting live trading or real-time systems
  • Independent, technically curious and comfortable taking ownership


Experience with GPU/ML optimisation, Kubernetes, Docker, Terraform, CI/CD or distributed systems is a strong plus.


Highly competitive compensation with relocation and visa sponsorship available.


📩 Katie.huang@bahpartners.com


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