Market Data System Engineer

Market Data Distribution Systems Engineer

Our partner company, a global financial services firm, is looking for a Systems Engineer to join its Market Data Site Reliability and Engineering team — responsible for highly available, ultra-low-latency platforms that distribute real-time and historical market data (equities, indices, options, fixed income, FX) at massive scale, with peak rates exceeding 10 million messages/second and daily volumes over 3 billion updates.

What you'll do

• Design and configure global market data distribution systems with optimal latency profiles
  
• Periodically review plant capacity and plan for market volatility
  
• Proactively identify opportunities to improve plant stability and security
  
• Work with global market data users to scope and integrate client requirements into the production plant
  
• Collaborate with clients and development teams on feed migrations and regulatory requirements
  
• Continuously seek productivity improvements in day-to-day integration work
  
• Partner with development to test and quality-assure new releases
  
• Perform regular hygiene activities (OS upgrades, security enhancements, software upgrades)
  

Requirements

What you'll bring

• Strong UNIX/Linux OS knowledge (resource monitoring, OS tuning)
  
• UNIX/Linux scripting proficiency (navigation, operational functions, shell scripts)
  
• Programming exposure to Python at minimum; Java/C++/Perl a plus
  
• Networking fundamentals (TCP/IP, UDP); multicast knowledge is an advantage
  
• Experience managing global distribution systems (configuration/capacity management, HA)
  
• Strong problem-solving skills, able to work with limited information under time pressure
  
• Excellent English communication skills for regular cross-region collaboration
  

Nice to have

• Agile methodology experience
  
• CI/CD experience
  
• Project management experience
  
• Database technology knowledge
  
• Experience using AI models/agents as productivity tools
  

If you enjoy working on mission-critical, ultra-low-latency data platforms at global scale, this could be a great next step.