Sr. Market Data Software Engineer

Project Description Responsibilities Design, develop, and maintain C++ market data feed handlers for direct exchange feeds and third-party data providers. Build and maintain order books, quote and trade processing, and normalized market data interfaces. Implement sequence tracking, gap detection, recovery, snapshot processing, and feed arbitration.

Develop efficient subscription management and data distribution, including conflation and backpressure handling. Optimize latency, throughput, CPU utilization, and memory consumption under peak market conditions. Support trading sessions, exchange calendars, symbol mapping, trading status messages, and corporate action updates.

Build tools for packet capture analysis, feed replay, automated testing, and production diagnostics. Monitor data quality, feed health, latency, and recovery performance. Investigate production issues and participate in the team’s production support rotation.

Collaborate with OMS/EMS, infrastructure, QA, and client application teams on integration and delivery.

Skills Must have The ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.

Required Qualifications Strong professional experience developing production systems in modern C++.

Experience building real-time market data or other high-throughput, latency-sensitive systems. Strong understanding of multithreading, synchronization, memory management, data structures, and algorithms.

Experience developing and debugging applications on Linux. Working knowledge of TCP/IP, UDP multicast, socket programming, and binary protocols. Understanding of market data concepts, including quotes, trades, order books, sequencing, and recovery.

Experience profiling and diagnosing performance, concurrency, and memory issues. Familiarity with Git, code reviews, automated testing, and CI/CD. Ability to investigate complex issues and communicate clearly across engineering and business teams. Nice to have Experience with U.S. equities, options, or futures market data. Familiarity with protocols such as Nasdaq ITCH, NYSE Pillar, Cboe PITCH, CME MDP, CTA, or UTP.

Experience with lock-free data structures, shared memory, CPU affinity, and cache-aware design. Familiarity with hardware timestamping, PTP, kernel bypass, or specialized network interfaces.

Experience supporting redundant feeds, failover, and disaster recovery. Python or shell scripting skills for testing, analysis, and operational tooling. Familiarity with OMS/EMS integration and market data distribution to browser-based trading applications.