Top Entry Level C++ Jobs in Chicago, IL

Develop and test high-performance C++ applications for trading platforms. Collaborate with traders and senior engineers to translate requirements into efficient solutions, while monitoring, profiling, troubleshooting, and improving system reliability. Gain hands-on experience across the full trading-system development lifecycle in an on-site, highly collaborative environment.

Join an on-site Chicago team building high-performance C++ trading systems. Contribute to design, development, testing, profiling, and troubleshooting. Collaborate with traders and senior engineers, receive mentorship, and gain exposure to the full lifecycle of low-latency trading platform development.

Join an on-site Chicago team building high-performance C++ trading systems. Design, develop, test, profile, and troubleshoot low-latency applications while collaborating with traders and senior engineers. Receive mentorship, training on markets, and exposure to production lifecycle and performance tuning.

Develop and maintain ultra-low-latency C++ trading software for options market making. Responsibilities include building exchange connectivity for new markets, optimizing order execution algorithms, developing automated pricing systems, tuning performance, and supporting trading infrastructure. The role involves full lifecycle software development, automated testing, peer code review, and close collaboration with traders, quantitative researchers, FPGA engineers, data analytics, and UI developers.

Develop and maintain backend services and RESTful APIs using C# and .NET. Design and optimize MySQL schemas and queries, troubleshoot production and staging issues, improve performance and scalability, document architecture, and uphold code quality and security. Collaborate with cross-functional teams in a fully remote environment while contributing to development best practices and continuous improvement.

Work on high-performance, low-latency C++ systems for trading: maintain core systems, implement lower-risk features, execute individual projects, and collaborate with Quant and Trading. Focus areas include concurrency, networking, profiling, and performance tuning while supporting multithreaded, asynchronous, and distributed architectures.