> Markdown version of [/jobs/ext/4252873-c-engineer-low-latency-market-data](https://www.wearedevelopers.com/jobs/ext/4252873-c-engineer-low-latency-market-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # C++ Engineer, Low-Latency Market Data - **Company:** Business Integration Partners (bip) - **Location:** United States - **Experience:** Expert - **Salary:** $130,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Application Performance Management, C++ (Programming Language), Profiling, Computer Networks, Linux, Memory Management, Financial Information EXchange, Multicasting, Performance Tuning, Remote Direct Memory Access, Reference Data, Software Engineering, System Programming, Multithreading, Cloud Platform System, Real Time Systems, Concurrency, Non-Uniform Memory Access, Redline, Information Technology, Low Latency, C++14 - **Published:** October 6, 2026 - **Apply:** https://www.thejobnetwork.com/job/a05078a9-2262-4556-a41a-9d9a0d8a428a/senior-c-engineer-lowlatency-market-data ## About the Role * 7+ years of professional software engineering experience with significant hands-on development of high-performance systems. \n * Expert-level C++ development experience on Linux, including modern C++ and low-level systems programming. \n * Extensive experience building, enhancing, or supporting low-latency electronic trading and/or real-time market data systems. \n * Direct hands-on experience with North American equities and/or options exchange market data protocols. \n * Strong understanding of exchange feed-handler architecture and functionality, including sequencing, gap detection, recovery, replay, reference data, and normalization. \n * Deep knowledge of multithreading, concurrency, memory management, networking, synchronization, and performance optimization. \n * Experience designing and implementing highly scalable, high-throughput real-time systems. \n * Strong knowledge of Linux operating environments and their interaction with latency-sensitive applications. \n * Demonstrated ability to identify and troubleshoot latency and performance issues using profiling, tracing, benchmarking, and systems-analysis tools. \n * Strong understanding of networking concepts relevant to market data, including UDP, multicast, packet processing, and network performance. \n * Experience working with infrastructure and networking teams to diagnose and optimize end-to-end application performance. \n * Experience operating within Agile software development environments. \n * Bachelor's degree in Computer Science, Engineering, or a related technical discipline. \n * Strong communication skills and the ability to collaborate effectively across engineering, architecture, infrastructure, production support, and business teams. \n, * Direct hands-on experience with Redline market data products or comparable ultra-low-latency market data platforms. \n * Previous experience migrating proprietary exchange feed handlers to a third-party or vendor-based market data platform. \n * Deep understanding of electronic trading market structure, exchange workflows, and market data distribution architectures. \n * Experience with kernel-bypass technologies such as Solarflare OpenOnload, DPDK, RDMA, AF_XDP, or similar technologies. \n * Advanced Linux performance-tuning experience, including CPU isolation, CPU affinity, interrupt management, NUMA optimization, huge pages, and network-stack tuning. \n * Strong knowledge of multicast networking and high-performance packet processing., * Experience with hardware timestamping, latency measurement, profiling, and performance benchmarking. ## Description This is a highly technical engineering role requiring deep expertise in C++, Linux, low-latency systems, exchange market data, networking, and performance optimization. The successful candidate will work directly with existing market data architectures, identify migration requirements and dependencies, validate feature parity, and optimize the target environment for high-message-rate production workloads., The engineer will partner closely with architecture, development, infrastructure, production support, and business stakeholders to deliver the migration safely and efficiently. The ideal candidate has previously built, optimized, or migrated low-latency market data or electronic trading systems and understands both the software engineering and infrastructure considerations required to achieve deterministic performance in production.