Principal Engineer – Equity Cash Electronic Trading
$191,000–$305,000 year
Hybrid · New York City, New York, United States or Iselin, New Jersey, United States
Job Summary
Principal Engineer – Equity Cash Electronic Trading at Wells Fargo. Hands-on technical authority responsible for design, evolution, and modernization of highly complex electronic trading systems in Equity Cash, including pricing, RFQ, IOI, market making, order routing, and market-data components. Lead architecture and design, drive performance standards, ensure resilience and compliance with risk standards, mentor engineers, and govern AI-enabled engineering practices (LLM integrations, MCP-based services). Collaborate with product managers, traders, quants, platform engineering, and vendors to translate trading requirements into robust technical solutions, with focus on low-latency, observability, and secure, auditable AI usage. Maintain end-to-end SDLC ownership and production support, while operating in a hybrid work arrangement.”,
Required Qualifications
- 7+ years of Engineering experience
- 7+ years of electronic trading experience within capital markets
- 7+ years of hands-on experience with Java in performance-critical systems
- Proven ability to operate as an individual contributor technical lead
- Strong experience partnering directly with traders, product teams, and business stakeholders
Desired Qualifications
- 7+ years of Engineering experience
- 7+ years of electronic trading experience within capital markets
- 7+ years of hands-on experience with Java in performance-critical systems (with exposure to Python and/or C++ as applicable)
- Deep experience with FIX protocol, ECN connectivity, market data feeds, and exchange/broker integrations
- Proven ability to operate as an individual contributor technical lead
- Strong experience partnering directly with traders, product teams, and business stakeholders
- Expertise in low-latency and real-time system design, including JVM tuning, GC optimization, threading models, memory management, and performance profiling
- Experience with building RFQ for ETF or other related asset classes is a strong plus
- Familiarity with quantitative modeling concepts and analytics used in electronic trading
- Experience with regression and performance test automation frameworks
- Strong understanding of electronic market making, algo trading, SOR/EMS platforms, and internalization models
- Experience with Large Language Models (LLMs) in enterprise environments, governance, traceability, and controlled usage
- Experience with Agentic AI workflows, MCP, GenAI SDLC
- Agile and DevOps practices
- Hybrid work schedule
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