About the Role

We are looking for a talented Remote C++ Software Engineer to join our team at OctoHorizon, an independent high-frequency trading (HFT) firm. In this role, you will design and implement high-performance systems that are crucial to our trading infrastructure. As a Remote C++ Software Engineer, you will work at the intersection of performance, infrastructure, and algorithmic trading, making a direct impact on our production systems and trading results.

What You'll Do

  • Design, develop, and maintain high-performance, low-latency trading systems in C++.
  • Implement core infrastructure for market data ingestion, order routing, risk checks, and strategy execution.
  • Profile, benchmark, and optimize code to meet stringent latency and throughput requirements.
  • Collaborate with quantitative researchers and infrastructure engineers to support the deployment of real-time strategies.
  • Build robust, fault-tolerant systems capable of operating reliably under varying market conditions.
  • Maintain clean, well-tested code and contribute to architectural decisions across the stack.
  • Take full ownership of components from design through production support.

Requirements

  • 3+ years of professional software engineering experience, with a focus on performance-critical systems.
  • Expert-level proficiency in modern C++ (C++17 or newer), including templates, memory management, and concurrency.
  • Strong understanding of systems programming concepts (CPU architecture, networking, threading, I/O, etc.).
  • Experience with Linux systems development, including debugging and performance tuning tools.
  • Demonstrated ability to write clean, efficient, and maintainable code in production environments.
  • Strong problem-solving skills and attention to detail.
  • Comfortable working independently in a fast-paced, fully remote team environment.

Nice to Have

  • Prior experience in high-frequency trading, low-latency systems, or real-time financial infrastructure.
  • Experience implementing market data handlers, matching engines, or order gateways.
  • Familiarity with exchange protocols (FIX, WebSocket, REST) and crypto-native APIs.
  • Background in mathematics, physics, computer science, or a related technical field.
  • Experience with performance benchmarking and micro-optimization at the hardware level (e.g., cache-aware design, CPU pinning, instruction pipelining).

What We Offer

  • Fully remote role – work from anywhere with a reliable internet connection.
  • High-impact engineering – direct influence on production trading and strategy performance.
  • Flat team structure – rapid decision-making, no bureaucracy.
  • Access to cutting-edge infrastructure – hardware, datasets, and profiling tools.
  • Competitive compensation – including base salary and performance-based bonuses.
  • Engineering autonomy – full ownership of systems and architectural direction.

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Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote C++ Software Engineer position offers a unique opportunity to work in high-frequency trading, with significant impact on trading performance and a fully remote work environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in C++ with a strong understanding of low-latency systems and performance optimization techniques, particularly in the context of high-frequency trading applications.

Self-motivated and disciplined to work effectively in a fully remote environment, demonstrating excellent time management and the ability to collaborate asynchronously with a distributed team.

Experience with Linux systems programming, enabling the development and debugging of high-performance applications in a competitive trading environment, while maintaining a mindset focused on continuous improvement and learning.

Learning Resources

C++ for Programmerscourse

Career Path

Remote C++ Software Engineer - High-Frequency Trading(Now)C++ Software Engineer - Algorithmic Trading(1-2 years)Lead C++ Software Engineer - Trading Systems(3-5 years)

Market Overview

Market Size 2024
$15B
Annual Growth
8.5%
AI Adoption in Trading
45%
Investment in FinTech
+35%
Labour Demand for C++ Engineers
+20%
Avg Salary for C++ Engineers in Trading
$120K

Skills & Requirements

Required
C++LinuxLow-Latency Systems
Growing in Demand
CUDA ProgrammingQuantitative AnalysisMachine Learning
Declining
Visual BasicCOBOL

Domain Trends

Increased Use of AI in Trading
AI adoption in high-frequency trading is projected to rise by 45% by 2025, enhancing algorithmic trading strategies and decision-making.
Shift Towards Real-Time Data Processing
The demand for low-latency systems is increasing, with 60% of trading firms investing in real-time data processing capabilities to gain competitive advantages.
Growth of Cloud-Based Trading Solutions
By 2025, it is expected that 50% of trading operations will migrate to cloud-based platforms, driven by the need for scalability and cost efficiency.

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