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About the Role

Wells Fargo is seeking a Principal Engineer in technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). This role is a hands-on individual contributor and technical authority, responsible for the design, evolution, and modernization of highly complex electronic trading systems. You will translate complex trading requirements into robust technical solutions, ensuring platforms are resilient, observable, and compliant with enterprise risk standards, and partnering closely with product managers, traders, quants, platform engineering, and vendors, while mentoring engineers through technical leadership and influence. This role defines and governs enterprise-standard AI-assisted engineering practices, including prompt-driven development, automated testing, diagnostics, documentation, and developer-productivity tooling, while architecting controlled LLM integrations such as MCP-based services for development, observability, and automation. You will establish strong guardrails to ensure secure, explainable, auditable AI usage and partner closely with platform, security, risk, and compliance teams to evolve GenAI and agentic-AI capabilities in alignment with Wells Fargo governance standards.

Responsibilities

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Requirements

Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Electronic trading experience within capital markets, with deep exposure to Rates or Fixed Income e‑trading platforms
Experience designing and building high‑performance, low‑latency trading systems, including pricing, RFQ/RFS, order management, market data, and execution workflows
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, owning architecture and influencing multiple engineering teams
Strong experience partnering directly with traders, product teams, and business stakeholders to resolve complex production and performance issues
Expertise in low‑latency and real‑time system design, including JVM tuning, GC optimization, threading models, memory management, and performance profiling
Strong understanding of electronic market making algo trading, SOR/EMS platforms, and internalization models
Working knowledge of OMS, CLOB, and post‑trade processing flows
Familiarity with quantitative modeling concepts and analytics used in electronic trading
Experience with regression and performance test automation frameworks
Advanced knowledge of capital markets business processes and trade lifecycle
Strong understanding and practical application of Agile and DevOps practices
Experience integrating Large Language Models (LLMs) in enterprise environments, with emphasis on governance, traceability, and controlled usage
Familiarity with agentic AI workflow and Model Context Protocol (MCP)–based SDLC is a strong plus

Skills

Java
Python
C++
FIX protocol
ECN connectivity
Market data feeds
Exchange/broker integrations
Low-latency system design
Real-time system design
JVM tuning
GC optimization
Threading models
Memory management
Performance profiling
Electronic market making algo trading
SOR/EMS platforms
Internalization models
OMS
CLOB
Post-trade processing flows
Quantitative modeling
Analytics
Regression test automation
Performance test automation
Agile
DevOps
Large Language Models (LLMs)
Agentic AI workflow
Model Context Protocol (MCP)

Location

Hybrid

Work Type

Hybrid

Experience Level

Principal Engineer

About the Company

Wells Fargo Securities (WFS) is the Capital Markets and Investment Banking division of Wells Fargo Bank, N.A. Within Institutional Investor Services, Electronic Trading Technology delivers scalable, resilient, and low‑latency platforms supporting cross‑asset trading strategies.

Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.