About this role
Project description
The ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.
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.
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.
Preferred Qualifications
- 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.
Responsibilities
- The ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.
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.
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.
Preferred Qualifications
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.
Skills
-
Must have
-
The ideal candidate combines strong modern C++ skills with experience in market data protocols, Linux, networking, and performance optimization.
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.
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
Preferred Qualifications
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.
Other
Languages
English: C1 Advanced
Seniority
Senior
Luxoft Benefits*
- ●Relocation options **
- ●Experience in an international environment
- ●Cross-cultural experience
- ●Feedback culture
- ●Regular appraisals
- ●Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority
- ●Occasional leave - 1 or 2 days/ depending on the circumstances
- ●Child care leave - 2 days or 16 hours per year
- ●Absence due to force majeure - 2 days or 16 hours per year
- ●Maternity Leave - 20 weeks
- ●Parental Leave - 41 weeks
- ●Paternity Leave - 14 days
- ●Expert-led tech courses covering basic to advanced topics
- ●Internal instructor-led soft skills courses
- ●Comprehensive in-house self-learning resources for both soft and hard skills
- ●Access to external self-learning libraries like ProQuest eBook and Udemy for Business
- ●Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
- ●Custom Learning Programs: upskilling, reskilling, technical mentor