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Information Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer - Equity Options & Algorithmic Trading

Apex Trading Systems
Raleigh
Estimated Salary
USD 140.000 – USD 180.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

Join the Future of Fintech.

Apex Trading Systems is revolutionizing the way Equity Options are traded. We are looking for a Senior Software Engineer to join our elite team in North Carolina. If you have a passion for high-frequency trading, complex algorithmic systems, and building robust financial infrastructure, this is your opportunity to make a massive impact.

As a key member of our engineering division, you will design and implement scalable systems that process millions of transactions per second with zero latency. We value innovation, technical excellence, and a deep understanding of financial markets.

Responsibilities

  • Design & Architecture: Design and architect high-performance, low-latency trading systems specifically for Equity Options derivatives.
  • Algorithm Development: Collaborate with quantitative researchers to translate mathematical models into efficient, executable code.
  • System Optimization: Continuously analyze and optimize code paths to reduce latency and improve throughput on our trading engines.
  • Infrastructure Management: Manage and deploy cloud-native infrastructure (AWS/Azure) ensuring 99.99% uptime and security compliance.
  • Data Integrity: Ensure the accuracy and real-time synchronization of vast datasets related to market volatility and option pricing.
  • Team Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards across the department.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Experience: 5+ years of professional experience in software engineering, with a focus on low-latency systems or high-frequency trading.
  • Programming: Proficiency in C++ (required) and Python. Experience with multi-threading and memory management is essential.
  • Finance Knowledge: Strong understanding of financial markets, specifically equity options, derivatives, and market microstructure.
  • Tools: Experience with Linux environments, message brokers (Kafka, RabbitMQ), and containerization (Docker, Kubernetes).
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

C++ Python Low Latency AWS Kubernetes Equity Options Financial Markets Algorithmic Trading Java

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