Python Developer / Production Engineer/ HFT | Tier one Global prop trading firm | Singapore
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Summary
Engineer on a high-frequency trading team at a global proprietary trading firm in Singapore, owning live trading and research systems across the research-to-live-trading lifecycle: diagnosing production issues, improving monitoring and pipelines, and building performance-critical Python/C++ systems with GPU/ML workload optimisation.
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 .
(HIDDEN TEXT)
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 .
(HIDDEN TEXT)