Real-Time Trading Systems Engineer

Hushh Technologies LLC.; Kirkland (WA); Hybrid; USD 160,000 - 220,000; Full time

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

Kirkland, WA (Hybrid/Remote options available)

$160,000 - $220,000

Full-time

About HushhTech

Hushh Technologies LLC is an investment technology firm that combines artificial intelligence, quantitative research, and careful product design to improve how capital is analyzed and allocated.

Our team includes researchers, engineers, and investment professionals who care about durable systems, clear thinking, and long-term value creation.

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, qualifications, and experience

• 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