Low-Latency Trading Systems Engineer — Hybrid/Remote

Hushh Technologies LLC.

Kirkland (WA)

Hybrid

USD 160,000 - 220,000

Full time

14 days+
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Job summary

Hushh Technologies LLC in Kirkland, WA is seeking a seasoned software engineer to develop, optimize, and support low-latency trading systems for systematic strategies. You will implement tools for order execution, real-time risk monitoring, and regulatory compliance while collaborating with researchers to deploy models in live environments.

The role emphasizes reliability under high-load conditions, fault tolerance, and deep expertise in C++ in Linux/Unix environments, with a preference for

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • Expertise in C++ (preferably C++17 or later) in Linux/Unix environments.
  • Strong understanding of distributed systems and real-time data processing.
  • Experience with FIX protocol, low-latency messaging systems, and trading platform APIs.
  • Background in financial engineering and algorithmic trading systems is a plus.

Responsibilities

  • Develop, support, and optimize low-latency trading systems for systematic strategies
  • Implement tools for order execution, real-time risk monitoring, and regulatory compliance
  • Enhance system performance to support high-frequency trading and algorithmic operations
  • Collaborate with researchers to deploy and scale trading models in live environments
  • Ensure system security, reliability, and fault tolerance under high-load conditions

Skills

C++ (C++17+)
Linux/Unix
Distributed systems
Real-time data processing
FIX protocol
Low-latency messaging
Trading platform APIs

Education

Bachelor's degree in Computer Science or related field

Job description

Hushh Technologies LLC in Kirkland, WA is seeking a seasoned software engineer to develop, optimize, and support low-latency trading systems for systematic strategies. You will implement tools for order execution, real-time risk monitoring, and regulatory compliance while collaborating with researchers to deploy models in live environments.

The role emphasizes reliability under high-load conditions, fault tolerance, and deep expertise in C++ in Linux/Unix environments, with a preference for

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