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Financial Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer - Equity Options & Low Latency Trading

ApexQuant Solutions
Raleigh
Estimated Salary
USD 120.000 – USD 160.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Are you a passionate Software Engineer looking to make a significant impact in the high-frequency trading sector? ApexQuant Solutions is seeking a dedicated professional to join our elite engineering team. We specialize in market-making strategies for equity options and require experts capable of handling the rigors of night shifts to monitor global market overlaps.

In this role, you will architect and maintain the core infrastructure that powers our automated trading systems. You will work in a collaborative environment that prioritizes code quality, system reliability, and innovation. If you thrive in a fast-paced setting and have a knack for solving complex algorithmic problems, we want to hear from you.

Responsibilities

  • Design, develop, and optimize high-performance software systems for equity options trading.
  • Monitor and maintain trading infrastructure during critical night shifts to ensure zero downtime.
  • Collaborate with quantitative researchers to translate mathematical models into efficient code.
  • Implement robust error handling and failover mechanisms for high-volatility market conditions.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in software engineering, preferably within the financial services or fintech industry.
  • Strong proficiency in C++, Java, or Rust with a deep understanding of memory management and concurrency.
  • Experience with low-latency systems and algorithmic trading frameworks.
  • Ability to work flexible night shifts, including weekends and holidays.

Required Skills

C++ Java Rust Low Latency Algorithmic Trading Fintech Equity Options Night Shift Distributed Systems

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