Principle Engineer - rates and cross asset electronic trading platforms

Wells Fargo

Hybrid

Quick summary

Work type: Hybrid
Location: New York · Iselin, NJ · Charlotte, NC
Salary: $159,000–$305,000 / yr
Posted: 4 days ago
Closes: Jun 28, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k

This role $232k

$128k most similar roles pay here $324k

This role pays more than 84% of similar roles. Most pay $148,500–$220,900 — the shaded band above. At the midpoint, this role pays about $232k versus about $185k for comparable roles.

Based on 239 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 74 open roles on FindRole.

Listed pay typically runs $159,000–$260,000 across 47 roles with salary data.

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At a glance

TL;DR · Principle Engineer - rates and cross asset electronic trading platforms

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Wells Fargo’s Commercial and Corporate & Investment Banking Technology team is seeking a Principal Engineer to join the Electronic Trading organization, focusing on Rates and cross-asset electronic trading platforms. This hands-on technical authority will lead complex initiatives by defining architecture, design patterns, and performance standards for low-latency trading applications, including pricing, RFQ, market making, order routing, and market data components. The role involves translating intricate trading requirements into robust technical solutions while ensuring compliance with enterprise risk standards and partnering closely with product managers, traders, quants, platform engineering, and vendors. Additionally, the Principal Engineer will govern AI-assisted engineering practices, including prompt-driven development and controlled LLM integrations for development, observability, and automation, ensuring secure and explainable AI usage in alignment with Wells Fargo’s governance standards. The ideal candidate has extensive experience in electronic trading within capital markets, particularly in Rates or Fixed Income e-trading platforms, along with expertise in Java, Python, and C++ for performance-critical systems.

Skills

Java Python C++ FIX protocol ECN connectivity market data feeds JVM tuning GC optimization threading models memory management performance profiling Agile DevOps LLMs MCP-based SDLC regression testing performance test automation OMS CLOB post-trade processing quantitative modeling Algo trading SOR/EMS platforms internalization models large-scale system design secure AI usage explainable AI auditable AI

What you'll do

Lead the design, evolution, and modernization of complex electronic trading systems across Rates and related asset classes.
Define architecture, performance standards, and design patterns for cross-team initiatives in low-latency trading applications.
Ensure platforms are resilient, observable, and compliant with enterprise risk standards while partnering closely with product managers and traders.
Govern enterprise-standard AI-assisted engineering practices, including prompt-driven development and controlled LLM integrations.
Mentor engineers through technical leadership, ensuring secure, explainable, and auditable AI usage in alignment with Wells Fargo governance.

What we're looking for

7+ years of electronic trading experience in capital markets, focusing on Rates or Fixed Income e-trading platforms
Deep hands-on expertise in designing and building high-performance, low-latency trading systems including pricing, RFQ/RFS, order management, market data, and execution workflows
Extensive experience with Java in performance-critical systems, plus exposure to Python and/or C++
Proven ability to operate as a technical lead, owning architecture and influencing multiple engineering teams
Strong understanding of electronic market making, algo trading, SOR/EMS platforms, and internalization models
Expertise in low-latency system design, including JVM tuning, GC optimization, threading models, memory management, and performance profiling

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