Lead Specialty Software Engineer

About this role:

In this role, you will:

• 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

Required Qualifications:

•  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

Desired Qualifications:

• 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

Job Expectations:

• This position is not eligible for Visa sponsorship

• Relocation assistance is not available for this position

• Position offers a hybrid work schedule

Posting End Date: 

*Job posting may come down early due to volume of applicants.

We Value 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 prot