Lead Specialty Software Engineer - Capital Markets

Wells Fargo•Iselin, NJ

18h•$191,000 - $305,000

About The Position

About this role: Wells Fargo is seeking a Lead Specialty Software Engineer within the Commercial and Corporate & Investment Banking Technology organization. This is an exciting opportunity to join the team building next‑generation solutions for Wells Fargo’s Capital Markets technology organization. We’re looking for engineers eager to be part of our automation, cloud, and Generative AI modernization journey. If you’re passionate about tackling complex, mission‑critical challenges using innovative technologies and strong engineering practices, this role is an excellent fit. This position is a senior developer role within the Prime Brokerage and Equity Finance & Futures (EF&F) Technology team. In this role you will join the team dedicated to the build‑out of next‑generation Prime Services trade processing and clearing capabilities, focusing on high throughput Market Maker Clearing, Financing workflows, and lifecycle automation. Success requires strong Java expertise, a solid foundation in server‑side design principles, and the ability to architect, build, and deliver scalable microservices and foundational frameworks. In this role, you will:

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 hands-on Core Java development with deep expertise in memory management, garbage collection tuning, multithreading, concurrency models, native I/O, and JNI integration
3+ years designing and building distributed, multi-tiered systems with high-throughput, high availability, fault tolerance, and event-driven & microservices-based architectures
2+ years working with SQL databases like Oracle or SSL Server, including schema design and query optimization
2+ years of experience in the securities industry with a solid understanding of equity derivatives (options, futures, swaps) and their full lifecycle

Nice To Haves

Solid understanding of AI-assisted development tools (e.g., GitHub Copilot) and modern IDEs
Strong foundation in algorithms and data structures, with a focus on performance optimization
Hands-on experience with modern SDLC frameworks, including Agile/Scrum, CI/CD pipelines, automated testing, and secure software development practices
Proficient in design patterns, clean code principles, and scalable system design
Familiarity with front-office risk systems, trading workflows, trade lifecycle integration, and products across flow trading, synthetics, exotics, convertibles, and prime brokerage
Excellent communication and collaboration skills for effective front-office interaction
Proven ability to thrive in high-pressure, fast-paced environments
Bachelor’s degree or higher in Computer Science, Engineering, or a related field
Deep understanding of capital markets workflows, including trade capture, lifecycle management, regulatory reporting
Experience leveraging Solace messaging for real-time, event-driven integration, enabling reliable publish/subscribe communication across heterogeneous platforms
Exposure to GenAI-driven solutions for productivity improvement, anomaly detection, data mining, and surveillance

Responsibilities

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
Write high-quality, performant Java code using object-oriented principles and design patterns
Solve complex problems requiring a solid grasp of business domains
Ensure quality, maintainability, and extensibility of supported systems and risk applications
Resolve coding, testing, and 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
Leverage GenAI tools to produce high-quality code and maintain high productivity
Keen eye to look at various technology processes and come up with proposals to solve it using AI technologies