Lead Specialty Software Engineer

Wells Fargo•Charlotte, NC

7d•Hybrid

About The Position

Wells Fargo is seeking a Lead Specialty Software Engineer to join FX Core Technology within Corporate & Investment Banking Technology (CCIBT). The ideal candidate will specialize in trading processing and play a key role in driving the design and evolution of the FX Core Technology platform, ensuring best‑in‑class performance, resiliency, and scalability. In this role, you will lead the development of Trade Capture, Regulatory, and Approval frameworks, enabling traders, Middle Office, and Regulatory Reporting teams through robust, reusable solutions. As a Lead Specialty Software Engineer, you will architect and optimize the core platform with scalable services that support strategy deployment, monitoring, and analytics. You will embed risk management controls directly into the platform, delivering automated guardrails, real‑time exposure monitoring, and compliance with regulatory standards—making this role central to both business growth and platform integrity.

Requirements

5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience with programming languages such as Java, Python
4+ years of deep understanding of data structures, algorithms and object-oriented programming

Nice To Haves

5+ years of experience in designing and building low‑latency, highly stable, and scalable trading systems
5+ years of hands‑on expertise with real‑time pricing STP integration, and performance‑critical components such as messaging, caching, threading, and automated trading controls, delivered within a resilient, enterprise‑grade e‑trading architecture.
5+ years of experience in electronic trading systems and financial markets
4+ years of experience electronic trading protocols, order types and exchange connectivity
4+ years of experience with networking protocols, multicast, and TCP/IP
Master’s degree in computer science/engineering
Experience with cloud computing platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus
Proficient with AI‑based IDEs and GitHub Copilot to accelerate coding, testing and debugging workflows.
Strong knowledge of Agentic AI and Model Context Protocol (MCP).
Experienced in applying AI tools across the SDLC to automate and improve developer/Engineer productivity
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
Strong analytical and problem-solving skills, with a track record of delivering robust and scalable solutions in a fast-paced environment
Leadership experience, including the ability to mentor junior engineers, drive technical initiatives, and influence decision-making

Responsibilities

Lead complex initiatives on selected domains
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
Define opportunities to maximize resource utilization and improve processes while reducing cost
Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
Resolve coding, testing and escalated platform issues of a technically challenging nature
Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Mentor less experienced software engineers
Collaborate and influence all levels of professionals including managers
Lead team to achieve objectives
Partner with production support and platform engineering teams effectively