Lead Java Software Engineer

Wells Fargo•Iselin, NJ

4d•$159,000 - $305,000

About The Position

Wells Fargo is seeking a Lead Java Software Engineer within the Commercial and Corporate & Investment Banking Technology organization. The position is a senior developer role on the Prime Brokerage and Equity Finance & Futures (EF&F) Technology team, building next-generation Prime Services trade processing and clearing capabilities. The work focuses on high-throughput Market Maker Clearing, financing workflows, and lifecycle automation as part of the Capital Markets technology organization’s automation, cloud, and Generative AI modernization journey. The role requires strong Java expertise and server-side design knowledge to architect, build, and deliver scalable microservices and foundational frameworks. The engineer will work on complex, mission-critical business functions and systems, promote quality and maintainability, and contribute to risk and compliance requirements. The role also includes mentoring software engineers, collaborating with professionals at all levels, and using Generative AI tools and AI technologies to improve code quality and productivity. The position is based at either the Metro Park location in Iselin, New Jersey, or Brevard Street in Charlotte, North Carolina. Travel of up to 10% is expected. The role is not eligible for visa sponsorship.

Requirements

At least 5 years of Specialty Software Engineering experience, or equivalent experience demonstrated through work, training, military experience, or education.
At least 5 years of hands-on Core Java development, including deep expertise in memory management, garbage collection tuning, multithreading, concurrency models, native I/O, and JNI integration.
At least 3 years of Capital Markets Technology experience building solutions in areas such as Equities or Options trade processing and clearing with OCC or CBOE clearing agencies.
At least 3 years designing and building distributed, multi-tiered systems with high throughput (approximately 5 million a day), high availability, fault tolerance, and event-driven and microservices-based architectures.
At least 2 years working with SQL databases such as Oracle or SSL Server, including schema design and query optimization.
At least 2 years of hands-on experience designing, deploying, and supporting containerized applications using OpenShift and Kubernetes, including application lifecycle management, CI/CD integration, scalability, resiliency, monitoring, and production support.

Nice To Haves

Strong knowledge of Generative AI and Agentic AI, including LLMs, prompt engineering, responsible AI, and practical patterns for reliable, secure, and auditable AI-assisted software engineering.
Hands-on experience with modern AI coding agents and development harnesses such as GitHub Copilot, Devin, Claude Code, Cursor, or comparable tools, applying agentic workflows to coding, testing, debugging, modernization, and code analysis while maintaining human review and established SDLC, security, and quality controls.
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.
Proficiency 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.
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, and regulatory reporting.
Experience using Kafka and/or Solace messaging for real-time, event-driven integration and reliable publish/subscribe communication across heterogeneous platforms.

Responsibilities

Lead, design, develop, test, and implement applications, system components, tools, utilities, models, simulations, and analytics for complex business functions.
Write high-quality, performant Java code using object-oriented principles and design patterns.
Solve complex problems requiring a solid understanding of business domains.
Ensure the quality, maintainability, and extensibility of supported systems and risk applications.
Resolve technically challenging coding, testing, and platform issues.
Lead the team in meeting compliance and risk management requirements and collaborate with stakeholders on key risk initiatives.
Mentor less experienced software engineers.
Collaborate with and influence professionals at all levels, including managers.
Use Generative AI tools to produce high-quality code and maintain high productivity.
Identify technology processes that could be improved using AI technologies.