Senior Low-Latency Trading Systems Engineer
Quick Summary
Summary: Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic execution tools for the cryptocurrency markets. In this role, you will focus on creating ultra-low-latency execution engines using C++ to enhance trading strategies and performance.
Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution. Optimize and enhance existing trading strategies and systems. Collaborate with quantitative researchers and traders to implement new strategies.
Responsibilities
~1 min read- →Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution.
- →Optimize and enhance existing trading strategies and systems.
- →Collaborate with quantitative researchers and traders to implement new strategies.
- →Troubleshoot, test, and maintain high-performance trading applications.
- →Stay updated with the latest developments in crypto markets and HFT technologies.
- Expert-level proficiency in C++ or Rust programming.
- Strong background in high-frequency trading (HFT) or market making.
- Experience with low-latency system design and optimization.
- Solid understanding of algorithmic trading strategies and cryptocurrency markets.
- Excellent problem-solving skills and attention to detail.
Location & Eligibility
Listing Details
- Posted
- March 10, 2026
- First seen
- March 26, 2026
- Last seen
- May 7, 2026
Posting Health
- Days active
- 42
- Repost count
- 0
- Trust Level
- 21%
- Scored at
- May 8, 2026
Signal breakdown

Web3 and AI talent recruitment agency based in Hong Kong with 700+ placements globally
Please let Hyphenconnect know you found this job on Jobera.
4 other jobs at Hyphenconnect
View all →Explore open roles at Hyphenconnect.
Similar Trading Systems Engineer jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.