About the Role
You'll work side-by-side with traders and quantitative researchers to design and evolve the infrastructure behind our automated options trading systems. Our core platform is built in Java, but we're expanding into modern C++ to drive our strategies into new markets. You'll have a hand in everything from trading logic to system performance to FPGA integrations. You'll operate every day with rigorous code reviews, automated testing, and scalable best practices. If you love optimizing every microsecond, solving real-time problems, and building scalable, battle-tested systems, this role will keep you challenged and engaged every day.
Requirements
- Proven experience in full-cycle software development in trading or other high-performance domains
- 5+ years of professional experience in modern C++; Java experience is a plus
- Strong grasp of network programming (e.g., raw sockets, latency tuning, packet handling)
- Demonstrated ability to debug, profile, and optimize complex systems
- A self-directed approach with the ability to identify and solve system issues without handholding
- Experience in fast-paced environments where reliability and performance are paramount
- A proactive mindset that anticipates risk, foresees performance bottlenecks, and proposes forward-thinking solutions
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Responsibilities
- Solve low-latency trading problems and optimize performance-critical code
- Collaborate with fellow trading engineers to improve system performance and scalability
- Contribute across the tech stack: application development, network optimization, and platform tuning
- Partner with hardware and networking teams to drive low-latency performance gains
- Leverage data to drive decision-making and uncover optimization opportunities
- Design and implement performance-critical, low-latency solutions for real-time trading
- Continuously enhance performance architecture to support evolving strategies
- Build new platform features and refine existing systems to meet the demands of high-speed trading