Lead Software Engineering – C++

Overview

As Ultra Low Latency C++ Lead Software Engineer in the Electronic Trading Technology team, you design and operate market gateway solutions with FPGA acceleration to power high-speed trading. You’ll drive the software lifecycle, focusing on stability, latency optimization, and continuous improvement. You team with hardware engineers to integrate FPGA pipelines with the C++ stack, delivering reliable trading connectivity and risk management capabilities. This role offers meaningful impact in a global trading environment and a collaborative, innovative culture with room for growth.

Responsibilities

• Develop creative software solutions across design, development, and troubleshooting
• Create reliable C++ code for trading connectivity and risk controls on Unix/Linux
• Implement end-to-end low latency client setups, including production rollout and validation
• Automate remediation to improve operational stability
• Define and execute test strategies for latency, throughput, and resiliency
• Adopt and promote AI-assisted engineering practices for code quality and delivery speed
• Utilize SDLC tools and AI-assisted development to enhance automation value
• Lead development of market access trading and risk management modules
• Participate across the software development lifecycle of electronic trading services
• Collaborate with Application Development, Business Analysts, and Operations
• Integrate FPGA pipelines with C++ software for deterministic performance

Key requirements

• Proficiency in modern C++ on Unix/Linux with multithreading and OO design
• Hands-on experience in system design, development, testing, and production stability
• Scripting skills (Python, Perl, Shell) for automation
• Advanced understanding of Agile, CI/CD, resiliency, and security
• Ability to review and debug others’ code
• Knowledge of low-level TCP/IP and network stack behavior
• Comfort working with infrastructure and networking teams
• Experience with AI-assisted software development tools and secure validation standards
• Understanding of responsible AI use in engineering workflows
• Bachelor’s degree in related discipline

• collaborative mindset
• strong communication
• leadership and mentorship
• modern C++ on Unix/Linux
• multithreading and OO design
• FPGA integration and hardware acceleration

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