Software Engineer (C++)

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.