Software Engineer, Trading Infrastructure



Overview

We are seeking a talented Software Engineer to join our client's Core Development team, focusing on designing, developing, and maintaining their Algorithmic Trading Platform with a strong emphasis on C++ functionality. This role involves close collaboration with Quant/Traders to optimize scalable applications and solve technical problems in a fast-paced environment.

Key Responsibilities

• Design and Development: Lead the design and development of high-performance, low-latency trading systems using C++ in a Linux environment.
• Collaboration: Work closely with Quant/Traders to implement and optimize trading strategies.
• Optimization: Continuously optimize system performance, focusing on reducing latency and improving execution speed.
• Maintenance: Maintain and enhance existing trading infrastructure, ensuring reliability and scalability.
• Problem Solving: Address complex technical challenges, providing innovative solutions.
• Cross-Platform Development: Develop and support cross-platform, multi-threaded applications.
• System Monitoring: Implement monitoring and alerting systems to ensure the health and performance of trading applications.
• Documentation: Create and maintain comprehensive documentation for all developed systems and processes.
  
  

Required Skills and Qualifications

• Programming: Proficiency in C++ programming within a Linux environment.
• Systems Knowledge: Strong understanding of operating systems, networks, and performance optimization techniques.
• Design: Experience in Object-Oriented design and multi-threaded programming.
• Cross-Platform Development: Ability to create and support cross-platform, multi-threaded applications.
• Analytical Skills: Strong analytical and problem-solving abilities.
• Low Latency Systems: Experience in developing low latency systems is highly desirable.
• Education: Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  
  

Preferred Qualifications

• Advanced Degree: Master's or Ph.D. in Computer Science, Computer Engineering, or a related field.
• Experience: Previous experience in the financial industry, particularly in trading or investment banking.
• Certifications: Relevant certifications in software development, systems engineering, or financial technology.
• Soft Skills: Excellent communication skills, ability to work in a team, and a proactive approach to problem-solving.
  

Desired Skills and Experience

Strong C++ skills, particularly in Linux and low-latency environments.
Experience with multi-threaded, distributed systems and infrastructure design.
Solid understanding of operating systems, networks, and performance optimization techniques.
Proven ability to solve complex problems and optimize system performance in high-speed environments.
Background in quantitative analysis, statistics, or machine learning as it relates to trading.
Familiarity with Python for research and system development.
Degree from a top 15 engineering school such as MIT, Stanford, UC Berkeley, Carnegie Mellon, or similar.
Strong preference for candidates with experience from FAANG companies (Google, Meta, Snapchat) or leading trading firms/hedge funds.