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Information Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer - Equity Options Trading Systems

TampaQuant Dynamics
Tampa
Estimated Salary
USD 140.000 – USD 190.000
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Join TampaQuant Dynamics, a premier fintech innovator headquartered in the heart of Tampa. We are seeking a highly skilled Senior Software Engineer to architect and maintain the core infrastructure powering our next-generation equity options execution engine. If you thrive in high-pressure environments and want to build systems that move markets, this is your opportunity.

We are looking for an engineer who doesn't just write code, but designs solutions that handle complex derivatives pricing and lightning-fast trade execution. You will work alongside quantitative analysts and traders to deliver tools that provide a competitive edge in the options market.

Responsibilities

  • Design & Build: Develop and optimize high-performance low-latency trading systems specifically for equity options and derivatives pricing.
  • System Architecture: Design scalable microservices and real-time data pipelines to ingest market data and process options chains.
  • Performance Tuning: Analyze and optimize code for speed and efficiency to reduce trade latency in volatile markets.
  • Collaboration: Partner with quantitative researchers to translate mathematical models into robust, production-ready software.
  • Risk Management: Implement and monitor systems that ensure compliance with equity options regulatory standards and risk limits.
  • Debugging: Diagnose and resolve complex issues in live trading environments with zero tolerance for downtime.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or Mathematics.
  • Experience: Minimum of 5+ years of experience in software engineering, with a focus on financial markets or high-frequency trading.
  • Languages: Proficiency in C++ or Java for backend systems, and Python for data analysis.
  • Domain Knowledge: Strong understanding of equity options, Black-Scholes models, or derivatives pricing mechanics.
  • Tools: Experience with message queues (Kafka, RabbitMQ), distributed databases, and containerization (Docker, Kubernetes).
  • Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

C++ Java Python Low Latency Options Trading Fintech Distributed Systems Kafka Docker Kubernetes Financial Markets

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