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.

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.

MUST

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.

Luxoft, a DXC Technology Company is a global digital strategy and software engineering firm with over 17,000 international employees within its 58 offices in 29 countries. It is headquartered in Zug, Switzerland. 

In January 2019, Luxoft was acquired by U.S. company DXC Technology. Luxoft partnered with LG Electronics to create a next-generation Autonomous Mobility concept vehicle that integrates consumers' personalized digital lifestyles into a driving experience. Luxoft enabled Switzerland's first Blockchain based e-vote platform with the City of Zug and Hochschule Luzern's Blockchain Lab.

Luxoft, a DXC Technology Company is a world-renowned company. It has been present on the Polish market for over 13 years. We have offices in Krakow, Warsaw, Wroclaw, and Gdansk. We employ over 2,000 professional experts carrying out projects for over 100 clients from the financial, automotive, medical, tourist industries, etc. We work for many international clients, including the USA, Great Britain, and Switzerland.

So far, Luxoft Poland has made a name for itself as a company that offers work on innovative projects, we offer various experiences in the field of IT, opportunities for rapid development, an extensive training program, and attractive benefits for employees.

At present, 62% of Luxoft Poland employees come from Poland, and 38% from around 50 countries, including Ukraine, Brazil, India, Turkey, Spain, Portugal, Italy, Romania, USA, etc.

At Luxoft, a DXC Technology Company almost 80 percent of employees are experts with the "Senior" experience level, with at least five years of experience. We care about our employees, so every day we try to provide them with the best possible conditions for work and development.

Technology is our passion! We focus on top engineering talent means that you will be working with the best industry professionals from around the world. Because of that, Luxoft is a global family with an epic atmosphere – we love what we do!