Senior Specialty Software Engineer - Capital Markets Reference Data

Wells Fargo & Company•Charlotte, NC

7h•Onsite

About The Position

About this role: Wells Fargo is seeking a Senior Specialty Software Engineer to join our Corporate and Investment Banking Technology team. This role focuses on developing and enhancing our Reference Data Platform, a critical application supporting Capital Markets business & trading. You will design and build high-performance components for ingesting, mastering, and distributing financial instruments reference data—requiring strong hands-on expertise in Java, distributed systems, and scalable data processing. The ideal candidate will bring solid experience in back-end development, a willingness to leverage agentic AI tools for accelerated delivery, and a commitment to operational excellence, risk management, and regulatory compliance. In this role, you will: Participate in and contribute to complex initiatives across Reference Data Platform domains, delivering scalable and resilient solutions. Design, code, test, debug, and document applications using Agile development practices and modern Java frameworks. Leverage agentic AI tools to accelerate development and maintain high code quality. Support data quality practices including golden-source determination, cross-vendor reconciliation, and data lineage tracking. Lead or participate in complex initiatives on selected domains. Assure quality, security and compliance for supported systems and applications. Serve as a technical resource in finding software solutions. Review and evaluate user needs and determine requirements. Provide technical support, advice, and consultation with the issues relating to supported applications. Create test data and conduct interfaces and unit tests. Design, code, test, debug and document programs using Agile development practices. Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives. Conduct research and resolve problems in relation to processes and recommend solutions and process improvements. Assist other individuals in advanced software development. Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals.

Requirements

4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Java development experience with knowledge of memory management, concurrency, and I/O
2+ years of Java 17+, including modern features like Streams API, records, and enhanced concurrency
2+ years of implementing microservices using Spring ecosystem (Boot, Batch, and/or Data)
2+ years of SQL experience including query optimization

Nice To Haves

Experience with Python (pandas, PySpark, or similar) for data transformation or enrichment workflows
Experience building cloud-ready solutions with Azure, GCP, or OpenShift
Experience developing data APIs exposed via API gateways
Experience with event-driven architectures using Kafka, Solace, or similar
Experience with CI/CD pipelines (Harness, GitHub Actions, or similar) and automated testing frameworks (JUnit, Mockito)
Demonstrated knowledge of LLMs, prompt engineering techniques, and AI-assisted development workflows)
Domain exposure to Financial Instrument Reference Data or market data vendors
Experience with distributed caching technologies (Apache Ignite, Redis, Coherence)
Front-end development experience with React.
Well-versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices
Strong foundation in object-oriented analysis and design, algorithms, and data structures
Excellent analytical and communication skills

Responsibilities

Participate in and contribute to complex initiatives across Reference Data Platform domains, delivering scalable and resilient solutions.
Design, code, test, debug, and document applications using Agile development practices and modern Java frameworks.
Leverage agentic AI tools to accelerate development and maintain high code quality.
Support data quality practices including golden-source determination, cross-vendor reconciliation, and data lineage tracking.
Lead or participate in complex initiatives on selected domains.
Assure quality, security and compliance for supported systems and applications.
Serve as a technical resource in finding software solutions.
Review and evaluate user needs and determine requirements.
Provide technical support, advice, and consultation with the issues relating to supported applications.
Create test data and conduct interfaces and unit tests.
Design, code, test, debug and document programs using Agile development practices.
Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives.
Conduct research and resolve problems in relation to processes and recommend solutions and process improvements.
Assist other individuals in advanced software development.
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals.
Develop and deliver software for Reference Data platform components as a hands-on individual contributor
Collaborate with Product Owners and business users to translate requirements into functional and technical specifications
Analyze and refactor legacy code to align with a scalable microservice architecture.
Write high-quality, performant Java code applying object-oriented principles and proven design patterns
Conduct thorough unit and functional testing; document all development activities per team standards
Ensure quality, maintainability, and extensibility of supported systems and risk applications
Build resilient applications requiring near zero production support
Ramp quickly on new business domains within Capital Markets technology
Identify opportunities to improve engineering processes and propose solutions using AI technologies