Lead Specialty Software Engineer

Wells Fargo

Hybrid

Quick summary

Work type
Hybrid
Location
Iselin, NJ · Charlotte, NC
Salary
$159,000–$305,000 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $232k
$141k most similar roles pay here $323k

This role pays more than 89% of similar roles. Most pay $160,000–$217,725 — the shaded band above. At the midpoint, this role pays about $232k versus about $189k for comparable roles.

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 91 open roles on FindRole.

Listed pay typically runs $151,000–$239,000 across 54 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Lead Specialty Software Engineer

Wells Fargo is hiring a Lead Specialty Software Engineer to join their CCIBT Organization's Collateral and Margin Management Technology team, focusing on Platforms Modernization & Regulatory/Compliance initiatives. This senior-level role involves designing, developing, and deploying AI applications using large language models (LLMs), agentic frameworks, and other advanced technologies. The engineer will work with Java, Spring Boot, JPA, Microservices, React.js, Kubernetes/OpenShift, Apache Kafka, and various DevOps tools like JIRA and GitHub. They must have extensive experience in Capital Markets Technology and a strong background in Prompt Engineering, Fine Tuning, RAG implementation, and agentic workflows. The ideal candidate will also be familiar with GenAI platforms such as Microsoft VS Code and GitHub Copilot, and possess knowledge of SWIFT for an added advantage.

What you'll do

  • Design, develop, and deploy AI applications using large language models and agentic frameworks.
  • Enhance existing systems by applying the latest advancements in artificial intelligence technologies.
  • Develop microservices and business application frameworks using Java and Spring Boot.
  • Implement retrieval-augmented generation (RAG) and prompt engineering techniques effectively.
  • Integrate major GenAI platforms into enterprise solutions, ensuring seamless API design and functionality.

What we're looking for

  • 5+ years of senior Java Specialty Software Engineering experience or equivalent
  • Extensive knowledge in Spring Boot, JPA, Microservices, SQL, and NoSQL
  • Experience with React.js, Kubernetes/OpenShift, Apache Kafka/Confluent Enterprise
  • Proficiency in SDLC and Agile tools like JIRA, GitHub, Jenkins, Confluence
  • 2+ years hands-on experience with GenAI enabled solutions, RAG, agentic workflows

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