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Senior Software Engineer - Equity Options Trading Systems

OptionPulse Technologies
Minneapolis
Estimated Salary
USD 150.000 – USD 200.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Are you ready to engineer the future of the financial markets? OptionPulse Technologies is seeking a world-class Software Engineer to join our high-frequency trading division in the heart of Minneapolis.

We build the infrastructure that powers complex equity options pricing and execution. If you thrive in a fast-paced, low-latency environment and want to solve mathematically challenging problems with code, this is your opportunity.

As a key member of our trading platform team, you will design, develop, and maintain the systems that ensure our clients get the best possible execution speeds and pricing accuracy in real-time.

Responsibilities

  • Develop Low-Latency Systems: Architect and code high-performance trading engines capable of processing millions of market ticks per second.
  • Data Pipeline Optimization: Design robust ETL pipelines to ingest, process, and analyze vast datasets of equity options data.
  • Pricing Model Implementation: Translate complex financial models into efficient, production-ready software components.
  • System Reliability: Implement rigorous testing and monitoring strategies to ensure 99.999% uptime for critical trading infrastructure.
  • Cross-Functional Collaboration: Work closely with quantitative analysts and traders to refine trading algorithms and user interfaces.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field; Master’s degree preferred.
  • Programming: Deep expertise in C++ (required) and Python (preferred) with a strong understanding of memory management and concurrency.
  • Domain Knowledge: Solid understanding of equity options, derivatives, and market microstructure.
  • Experience: Proven track record of building scalable distributed systems in a financial or high-frequency trading environment.
  • Tools: Familiarity with containerization (Docker/Kubernetes) and cloud platforms (AWS/GCP).

Required Skills

C++ Python Java SQL AWS Docker Kubernetes Algorithmic Trading Low-Latency Systems Derivatives Financial Engineering

Ready to Take This Challenge?

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

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