Software Engineer - Options Trading Systems

Human Intuition. Machine Intelligence. Relentless Exploration.

Exceptional trading emerges where human intuition meets frictionless experimentation. Our platform and processes enable traders to rapidly investigate ideas, identify emergent patterns, and convert insights into live strategies. This synthesis creates a flywheel of discovery — the key to our pursuit of excellence.

The Role:

We are looking for an elite Software Engineer to join our options trading team with a heavy focus on technology, advanced statistics, massive time-series data, and high-performance systems.
You will work side-by-side with traders and researchers to implement strategies, optimize trading systems, and expand the team’s core platform. This role requires both engineering rigor and strong interpersonal judgment: you will own key projects end-to-end, develop a deep understanding of stakeholder needs, translate trading and research requirements into clean technical designs, and deliver robust systems for real-world trading problems.
This is a high-responsibility role for someone who enjoys solving complex, volatility-centric problems in a fast-moving, startup-like environment.

Responsibilities:

• Build Trading Systems: Design, implement, and improve systems that support options trading strategies, research workflows, and live trading infrastructure.
• Own Core Projects: Take projects from ambiguous stakeholder need through design, implementation, testing, deployment, and iteration.
• Optimize Performance: Apply deep systems knowledge to improve latency, throughput, reliability, and scalability across performance-sensitive components.
• Engineer Clean Frameworks: Build reusable, maintainable software frameworks that accelerate trader and researcher experimentation.
• Work Close to the Desk: Collaborate directly with traders and researchers to understand strategy requirements, diagnose system behavior, and ship practical solutions.
• Solve Low-Latency Problems: Select appropriate data structures, algorithms, and architectural patterns for highly specific, performance-critical use cases.

The Tech Stack:

We believe in using the right tool for the job. For this role, you will primarily work with:

• Core Languages: C++ is the primary language for performance-sensitive systems. Elite proficiency with modern C++, OOP, templates, and multithreaded programming is essential.
• Systems & Architecture: Modern computing systems, micro-architecture, concurrency, memory management, and high-performance design.
• Networking: Direct use of sockets and network programming APIs for latency-sensitive applications.
• Trading Infrastructure: Strategy implementation, research tooling, market data systems, and components that interface with live trading workflows.
• Data & Research Workflows: Large-scale time-series data, volatility-focused analysis, and systems that help traders rapidly explore and test ideas.

You Bring:

• Experience: 5+ years of elite software engineering experience in production systems.
• Education: Undergraduate degree in Computer Science, Computer Engineering, or a closely related engineering discipline.
• C++ Expertise: Deep command of C++, object-oriented design, templates, concurrency, and multithreaded programming.
• Systems Fluency: Strong understanding of modern computing systems and micro-architecture.
• Networking Depth: Experience with network programming APIs, including direct socket-level programming.
• Computer Science Fundamentals: Ability to match the right data structures and algorithms to specific low-latency engineering problems.
• Architecture Judgment: Proven experience designing, improving, and maintaining clean, reusable frameworks.

Bonus Points For:

• Trading Systems Experience: Experience building automated trading systems, such as feed handlers, order management systems, market data systems, or strategy execution platforms.
• Low-Latency Optimization: A track record of intense performance tuning, profiling, and latency reduction.
• Product Ownership: Experience leading full product life-cycle development, from design through production deployment.
• Market Fluency: Familiarity with financial markets, options, volatility, or electronic trading.
• Advanced Education: Graduate degree in Computer Science, Compute