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Senior Equity Options Software Engineer

Quantum Financial Solutions
Seattle, WA
Estimated Salary
USD 165.000 – USD 220.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Join our award-winning fintech team at Quantum Financial Solutions, where innovation meets high-frequency trading. We're seeking a visionary Senior Software Engineer to architect and deploy cutting-edge systems powering global equity options markets. Work alongside MIT PhDs and ex-Wall Street quants in our downtown Seattle headquarters, equipped with dual 4K monitors and standing desks overlooking Elliott Bay. Enjoy flexible schedules, quarterly hackathons, and equity compensation in a company that's grown 300% YoY.

Your impact will directly influence billions in daily trading volume while enjoying unmatched perks: catered lunches, unlimited PTO, and a $10k annual professional development stipend. Collaborate with traders in real-time to transform complex financial models into lightning-fast, low-latency trading platforms.

Responsibilities

  • Design and implement microservices for options pricing, risk analysis, and order execution pipelines
  • Optimize C++/Rust trading engines for sub-microsecond latency in high-frequency options markets
  • Develop Python-based analytics dashboards for options greeks and volatility surfaces
  • Architect cloud-native infrastructure on AWS/GCP with Kubernetes and Terraform
  • Lead code reviews and pair programming sessions for cross-functional teams
  • Mentor junior engineers on financial mathematics and distributed systems
  • Partner with quantitative researchers to implement Black-Scholes and binomial tree models

Qualifications

  • 5+ years experience in low-latency trading systems or high-frequency finance
  • Expertise in C++, Python, and at least one JVM language (Java/Scala)
  • Deep understanding of options pricing models (Black-Scholes, Monte Carlo)
  • Proficiency with Linux kernel tuning and network stack optimization
  • Experience with cloud-native deployment (Kubernetes, Docker, Terraform)
  • BS/MS in Computer Science, Mathematics, or Quantitative Finance
  • Portfolio demonstrating complex financial systems or high-performance computing
  • Familiarity with FIX protocol and exchange connectivity

Required Skills

C++ Python Java Kubernetes AWS Low-Latency Systems Options Pricing FIX Protocol Financial Mathematics

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