{"id":4085607,"url":"https://alion.io/job/luxoft-sr-market-data-software-engineer-2","title":"Sr. Market Data Software Engineer","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career 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description\nThe ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.\nResponsibilities\nDesign, develop, and maintain C++ market data feed handlers for direct exchange feeds and third-party data providers.\nBuild and maintain order books, quote and trade processing, and normalized market data interfaces.\nImplement sequence tracking, gap detection, recovery, snapshot processing, and feed arbitration.\nDevelop efficient subscription management and data distribution, including conflation and backpressure handling.\nOptimize latency, throughput, CPU utilization, and memory consumption under peak market conditions.\nSupport trading sessions, exchange calendars, symbol mapping, trading status messages, and corporate action updates.\nBuild tools for packet capture analysis, feed replay, automated testing, and production diagnostics.\nMonitor data quality, feed health, latency, and recovery performance.\nInvestigate production issues and participate in the team’s production support rotation.\nCollaborate with OMS/EMS, infrastructure, QA, and client application teams on integration and delivery.\nRequired Qualifications\nStrong professional experience developing production systems in modern C++.\nExperience building real-time market data or other high-throughput, latency-sensitive systems.\nStrong understanding of multithreading, synchronization, memory management, data structures, and algorithms.\nExperience developing and debugging applications on Linux.\nWorking knowledge of TCP/IP, UDP multicast, socket programming, and binary protocols.\nUnderstanding of market data concepts, including quotes, trades, order books, sequencing, and recovery.\nExperience profiling and diagnosing performance, concurrency, and memory issues.\nFamiliarity with Git, code reviews, automated testing, and CI/CD.\nAbility to investigate complex issues and communicate clearly across engineering and business teams.\nPreferred Qualifications\nExperience with U.S. equities, options, or futures market data.\nFamiliarity with protocols such as Nasdaq ITCH, NYSE Pillar, Cboe PITCH, CME MDP, CTA, or UTP.\nExperience with lock-free data structures, shared memory, CPU affinity, and cache-aware design.\nFamiliarity with hardware timestamping, PTP, kernel bypass, or specialized network interfaces.\nExperience supporting redundant feeds, failover, and disaster recovery.\nPython or shell scripting skills for testing, analysis, and operational tooling.\nFamiliarity with OMS/EMS integration and market data distribution to browser-based trading applications.\nResponsibilities\nThe ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.Responsibilities\n\n Design, develop, and maintain C++ market data feed handlers for direct exchange feeds and third-party data providers.\n Build and maintain order books, quote and trade processing, and normalized market data interfaces.\n Implement sequence tracking, gap detection, recovery, snapshot processing, and feed arbitration.\n Develop efficient subscription management and data distribution, including conflation and backpressure handling.\n Optimize latency, throughput, CPU utilization, and memory consumption under peak market conditions.\n Support trading sessions, exchange calendars, symbol mapping, trading status messages, and corporate action updates.\n Build tools for packet capture analysis, feed replay, automated testing, and production diagnostics.\n Monitor data quality, feed health, latency, and recovery performance.\n Investigate production issues and participate in the team’s production support rotation.\n Collaborate with OMS/EMS, infrastructure, QA, and client application teams on integration and delivery.Required Qualifications\n\n Strong professional experience developing production systems in modern C++.\n Experience building real-time market data or other high-throughput, latency-sensitive systems.\n Strong understanding of multithreading, synchronization, memory management, data structures, and algorithms.\n Experience developing and debugging applications on Linux.\n Working knowledge of TCP/IP, UDP multicast, socket programming, and binary protocols.\n Understanding of market data concepts, including quotes, trades, order books, sequencing, and recovery.\n Experience profiling and diagnosing performance, concurrency, and memory issues.\n Familiarity with Git, code reviews, automated testing, and CI/CD.\n Ability to investigate complex issues and communicate clearly across engineering and business teams.Preferred Qualifications\n\n Experience with U.S. equities, options, or futures market data.\n Familiarity with protocols such as Nasdaq ITCH, NYSE Pillar, Cboe PITCH, CME MDP, CTA, or UTP.\n Experience with lock-free data structures, shared memory, CPU affinity, and cache-aware design.\n Familiarity with hardware timestamping, PTP, kernel bypass, or specialized network interfaces.\n Experience supporting redundant feeds, failover, and disaster recovery.\n Python or shell scripting skills for testing, analysis, and operational tooling.\n Familiarity with OMS/EMS integration and market data distribution to browser-based trading applications.\nSKILLS\nMust have\nThe ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.Responsibilities\n\n Design, develop, and maintain C++ market data feed handlers for direct exchange feeds and third-party data providers.\n Build and maintain order books, quote and trade processing, and normalized market data interfaces.\n Implement sequence tracking, gap detection, recovery, snapshot processing, and feed arbitration.\n Develop efficient subscription management and data distribution, including conflation and backpressure handling.\n Optimize latency, throughput, CPU utilization, and memory consumption under peak market conditions.\n Support trading sessions, exchange calendars, symbol mapping, trading status messages, and corporate action updates.\n Build tools for packet capture analysis, feed replay, automated testing, and production diagnostics.\n Monitor data quality, feed health, latency, and recovery performance.\n Investigate production issues and participate in the team’s production support rotation.\n Collaborate with OMS/EMS, infrastructure, QA, and client application teams on integration and delivery.Required Qualifications\n\n Strong professional experience developing production systems in modern C++.\n Experience building real-time market data or other high-throughput, latency-sensitive systems.\n Strong understanding of multithreading, synchronization, memory management, data structures, and algorithms.\n Experience developing and debugging applications on Linux.\n Working knowledge of TCP/IP, UDP multicast, socket programming, and binary protocols.\n Understanding of market data concepts, including quotes, trades, order books, sequencing, and recovery.\n Experience profiling and diagnosing performance, concurrency, and memory issues.\n Familiarity with Git, code reviews, automated testing, and CI/CD.\n Ability to investigate complex issues and communicate clearly across engineering and business teams.\nNice to have\nPreferred Qualifications\nExperience with U.S. equities, options, or futures market data.\nFamiliarity with protocols such as Nasdaq ITCH, NYSE Pillar, Cboe PITCH, CME MDP, CTA, or UTP.\nExperience with lock-free data structures, shared memory, CPU affinity, and cache-aware design.\nFamiliarity with hardware timestamping, PTP, kernel bypass, or specialized network interfaces.\nExperience supporting redundant feeds, failover, and disaster recovery.\nPython or shell scripting skills for testing, analysis, and operational tooling.\nFamiliarity with OMS/EMS integration and market data distribution to 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