GTechNY

Other
New York
Posted 8 months ago

C++ Engineer – High-Performance Trading Systems

About the Role
A leading global trading technology firm is expanding its U.S. engineering team and seeking an experienced C++ Engineer to design and build next-generation trading platforms. This is a strategic growth role offering exposure to equity trading systems, ultra-low-latency infrastructure, and cloud-native deployments.

What You’ll Do

  • Design, develop, and optimize low-latency C++ applications for equity trading and market data.
  • Implement containerized microservices architectures for scalable, high-performance trading.
  • Deploy and orchestrate services using Docker and Kubernetes.
  • Integrate trading systems with AWS and Azure cloud infrastructure, ensuring secure, distributed operations.
  • Collaborate with traders, quants, and DevOps to deliver production-ready solutions.
  • Drive performance tuning, fault tolerance, and high availability for mission-critical platforms.

What We’re Looking For

  • Strong proficiency in modern C++ (C++17 or later) for real-time, high-throughput systems.
  • Experience in equity trading technology (low-latency, order routing, execution systems).
  • Hands-on expertise with Docker, Kubernetes, and microservices.
  • Knowledge of AWS and/or Azure, including networking and security practices.
  • Solid understanding of multithreading, concurrency, and memory optimization.
  • Ability to thrive in a production-first, fast-paced environment.

Nice to Have

  • Scripting skills (Python, Bash) for automation.
  • Experience with CI/CD pipelines and infrastructure-as-code.
  • Exposure to high-frequency trading (HFT) or tick-level data systems.

Why Join Us

Join a high-impact engineering team building the future of trading infrastructure. We offer competitive compensation, full benefits, and a collaborative, entrepreneurial culture that values innovation, technical excellence, and real-world impact.

Job Features

Job CategoryFinance/Trading
Pay$140,000 - $200,000
SkillsC++, low-latency, Docker, Kubernetes, AWS, Azure, containers
CultureClient-Centric, Fast-Paced, Production-First

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