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Software Engineer - Equity Options Trading Platform

Apex Derivatives
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
9 September 2026
Deadline
9 Sep 2027

Job Description

Join the Future of Financial Derivatives

Apex Derivatives is revolutionizing the equity options market with next-generation trading infrastructure. We are seeking a visionary Software Engineer to join our high-performance team in San Francisco. You will be instrumental in building the systems that power complex option pricing models and real-time execution engines.

Why You’ll Thrive Here

Work with state-of-the-art technology in a collaborative, fast-paced environment. We offer competitive compensation, equity packages, and the opportunity to work on high-stakes financial systems that impact millions of trades daily.

Key Responsibilities

  • Architect Scalable Systems: Design and implement low-latency, high-throughput trading platforms optimized for equity options data.
  • Algorithm Development: Collaborate with quantitative analysts to model and optimize options pricing strategies.
  • System Optimization: Continuously monitor and improve system performance to reduce latency and increase throughput.
  • API Development: Build robust REST and WebSocket APIs for internal and external client integration.
  • Code Quality: Write clean, maintainable, and well-documented code following industry best practices and security standards.
  • Team Leadership: Mentor junior engineers and contribute to code reviews and technical architecture decisions.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).
  • Experience: 5+ years of software engineering experience, preferably in the Fintech, High-Frequency Trading (HFT), or Financial Services sectors.
  • Technical Stack: Proficiency in C++, Python, or Rust with deep understanding of memory management and concurrency.
  • Financial Knowledge: Strong understanding of financial markets, specifically equity options, derivatives, and Black-Scholes models.
  • Distributed Systems: Experience designing distributed systems using microservices architecture and message queues (Kafka, RabbitMQ).
  • Tools: Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).

Responsibilities

  • Develop: Build and maintain high-performance trading engines for equity options.
  • Analyze: Debug complex issues in high-frequency trading environments.
  • Integrate: Connect with external market data providers and brokerages.
  • Secure: Implement enterprise-grade security protocols for financial data.
  • Test: Create comprehensive unit and integration tests to ensure system reliability.

Qualifications

  • Education: BS/MS in CS, Engineering, or Math.
  • Language: C++, Python, or Rust.
  • Domain: Experience in Equity Options or Derivatives trading.
  • Systems: Expertise in Linux and distributed systems.
  • Soft Skills: Strong problem-solving and communication abilities.

Required Skills

C++ Python Rust Financial Markets Options Trading Low-Latency Systems Microservices Docker Kafka AWS

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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