Lead Specialty Software Engineer - Capital Markets Reference Data

Wells Fargo

Quick summary

Work type
On-site
Location
Charlotte, NC
Posted
16 days ago
Closes
Jul 1, 2026
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $204k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $183,175–$224,062.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 54 open roles on FindRole.

Listed pay typically runs $159,000–$300,000 across 28 roles with salary data.

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At a glance

TL;DR · Lead Specialty Software Engineer - Capital Markets Reference Data

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Wells Fargo is hiring a Lead Specialty Software Engineer for its Corporate and Investment Banking Technology team, focusing on modernizing the Reference Data Platform. This role involves leading complex initiatives to develop high-performance systems for financial instruments reference data, leveraging agentic AI tools to enhance development velocity while ensuring data quality and governance. The ideal candidate will have extensive experience in Java 17+, Spring ecosystem microservices, SQL query optimization, and event-driven architectures using Kafka or Solace. Additionally, familiarity with cloud solutions like Azure or GCP, CI/CD pipelines, and distributed caching technologies is desired. This position requires a strong background in financial instrument reference data integration, low-latency application development, and agile methodologies to deliver scalable and resilient solutions for the Capital Markets business.

Skills

Java Spring Boot Kafka SQL Azure GCP CI/CD JUnit Python pandas PySpark React Agile DevOps Apache Ignite Redis LLMs prompt engineering Test Driven Development Docker

What you'll do

  • Lead the architecture, design, and development of high-performance systems for financial instruments reference data.
  • Accelerate development velocity by integrating agentic AI tools into engineering workflows.
  • Champion data quality practices including golden-source determination and cross-vendor reconciliation.
  • Analyze and refactor legacy systems to align with a scalable microservice architecture.
  • Design and document current-state and target-state architectures for platform modernization initiatives.

What we're looking for

  • 5+ years of experience designing and implementing distributed systems with Java, including memory management and concurrency
  • 3+ years of hands-on experience with modern Java features like Streams API, records, and enhanced concurrency in Java 17+
  • 3+ years of expertise in microservices implementation using the Spring ecosystem (Boot, Batch, Data)
  • 2+ years of SQL experience focusing on complex query optimization
  • 3+ years of building event-driven architectures with Kafka or similar technologies

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