Senior Director of eSoftware Engineering – Ultra-Low-Latency C++ / Equities Technology

As a Senior Director of eSoftware Engineering in JPMorgan Chase’s Commercial and Investment Bank, you will join the Equities Electronic Trading Technology team as a core, hands-on engineer on our ultra-low-latency trading platform. You will design, build, and optimize the latency-critical C++ that powers our electronic trading business, spanning the core platform, high-performance market data, order execution, and market-making systems that price and quote equities and equity derivatives. This senior-leadership-backed investment in our people and platform will help define the next generation of electronic trading. Our engineers work across ultra-low-latency trading technology, systematic trading, next-generation high-performance market data, and the core platform that brings them together. Disciplined prioritization and research-driven product development guide this work. If you have deep expertise in low-latency C++ and want to write code whose performance is measured in nanoseconds—with a direct impact on clients and the business—this is the team for you. Job responsibilities 3Designs, builds, and optimizes latency-critical components of the core trading platform in modern C++, including the threading and event-processing model, inter-component messaging, memory management, and networking layers that market data, market-making, and execution applications are built on7 3Partners with traders and quantitative researchers to build and evolve electronic market-making systems, including quoting and quote management, real-time pricing and hedging, and pre-trade risk controls that meet regulatory and firm control requirements7 3Treats latency as a measured quantity: builds instrumentation, benchmarks, and profiling into the platform, and drives down tail latency and jitter through data-driven optimization7 3Works across the software/hardware boundary, including CPU caches, NUMA, core isolation, kernel-bypass networking, and hardware timestamping, partnering with infrastructure and network engineering on host and colocation tuning7 3Develops secure, high-quality, well-tested production code, reviews and debugs code written by others, and helps set the platforms engineering standards for performance, correctness, and design7 3Owns systems in production, diagnosing issues quickly during live trading and automating remediation of recurring issues to improve operational stability7 3Adds to team culture of diversity, opportunity, inclusion, and respect7 Required qualifications, capabilities, and skills 3Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization7 3Expert-level modern C++ (C++17/20), including templates and compile-time techniques, object lifetime and memory management, and a strong understanding of the code the compiler generates7 3Hands-on experience designing, building, and operating latency-sensitive production systems, with a track record of measurable latency or throughput improvements7 3Deep understanding of software and hardware interaction, including CPU caches, the memory hierarchy, branch prediction, and NUMA, and their effect on latency and jitter7 3Strong multithreading and concurrency skills, including the C++ memory model, atomics, and lock-free data structures such as ring buffers and SPSC/MPMC queues7 3Proficiency in Linux systems programming and networking (TCP, UDP multicast), and with performance tools such as perf, gdb, eBPF, or VTune7 3Strong computer science fundamentals in data structures and algorithms, and how they perform on real hardware7 3Disciplined engineering practices, including automated testing, code review, and CI/CD7 3Scripting skills (e.g., Python, Bash) to automate development, testing, and analysis tasks7 3Hands-on, day-to-day experience with Specification Driven Development and with working alongside AI agents across the full software development lifecycle, from specification and design through implementation, testing, and code review7 Preferred qualifications, capabilities, and skills 3Electronic trading experience in one or more of cash equities, listed derivatives (options and futures), or fixed income, with a solid understanding of market microstructure7 3Experience developing high-performance market data feed handlers and order books for equities, listed derivatives, and fixed income venues, processing high-volume multicast data with deterministic latency at peak market volumes7 3Experience developing high-performance market data feed handlers and order books for equities, listed derivatives, and/or fixed income venus, processing high-volume multicast data with deterministic latency at peak market volumes and specific experience with exchange market data protocols (e.g., Nasdaq ITCH, Cboe PITCH, OPRA, CME MDP 3.0, NYSE Pillar, 022022)7 3Experience with electronic market-making or principal risk-trading systems, such as quoting engines, auto-hedging, and real-time risk management7 3Working knowledge of FIX and native binary order-entry protocols (e.g., Nasdaq OUCH, Cboe BOE, CME iLink 3)7 3Experience with kernel-bypass and accelerated networking (e.g., Solarflare Onload/ef_vi/TCPDirect, DPDK), hardware timestamping, and PTP7 3Experience with event-driven, message-passing architectures (e.g., actor or active-object models) and design-by-contract techniques7