IT & Software

Lead Software Engineering - C++

JP Morgan Chase

London · Greater London · United Kingdom

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

Reference: WJ-747_30160731

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