Selby Jennings
Hong Kong Sar
Trading Systems Reliability Engineer (C++)
Programming Full-time Mid-Senior level 6d ago
- C++
- C#
- Python
B
Senior Software Engineer – Distributed Systems (Quantitative Finance)
Relocation
AI Summary
Build and operate large-scale distributed platforms for a global quantitative investment manager, focusing on compute workloads, platform APIs, and high-performance research infrastructure. Design scalable systems for scheduling, security, and observability while collaborating with researchers and infrastructure teams. Requires 5+ years in distributed systems, Go/Python, and production ownership with a CS degree or equivalent.
Key Highlights
Own end-to-end development and operation of distributed systems for quantitative research
Work at the intersection of distributed systems, platform engineering, and high-performance computing
Collaborate with researchers and infrastructure teams to deliver scalable platform solutions
Key Responsibilities
Design, build, and operate distributed services managing compute workloads and data access across large-scale infrastructure
Develop platform APIs and tooling to enhance quantitative researchers’ productivity
Improve reliability, scalability, and performance of compute-intensive research workflows
Build solutions for scheduling, resource management, observability, and security
Work closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities
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Technical Skills Required
Benefits & Perks
Competitive compensation packages
Comprehensive health benefits
Bonus package
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Nice to Have
Experience with internal developer platforms
Cloud infrastructure and orchestration systems (e.g., Kubernetes)
Familiarity with GPU-accelerated workloads and ML frameworks (PyTorch, TensorFlow)
Supporting researchers, data scientists, or technical users
Exposure to quantitative finance or large-scale data-intensive environments
Job Description
We’re Hiring: Software Engineer – Distributed Systems (Happy to relocate)
Hong Kong | On-site
My client is a leading global quantitative and systematic investment manager, combining technology, data, and scientific research to trade across global markets.
They are seeking an experienced Software Engineer to build the distributed platforms powering large-scale research across their global infrastructure.
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