Lead Specialty Software Engineer – Fixed Income Spread Technology

Wells Fargo & Company•Charlotte, NC

5d•Hybrid

About The Position

Wells Fargo is seeking a Lead Specialty Software Engineer within Corporate & Investment Banking (CIB) Capital Markets, Fixed Income Spread Technology. This is a hands-on technical leadership role focused on building and evolving low-latency, high-throughput platforms that power pricing, risk, P&L, and electronic trading workflows across Credit, Municipal, and Structured Products desks. The Fixed Income Spread Technology team builds and owns low-latency pricing, risk, and P&L systems as well as the front-end eTrading platform for Spread products including Credit, Municipal, and Structured Products. The team works directly with Front Office traders, Middle Office, and Product partners to deliver a live trading and analytics platform supporting intraday trading and end-of-day processing.

Requirements

5+ years of software engineering experience, or equivalent demonstrated through work experience, training, education, or military service
5+ years of strong hands-on experience with Java and Spring Boot
5+ year of strong DevOps experience with CI/CD, Kubernetes, Docker, OpenShift, Gradle, Jenkins and/or uDeploy
5+ year of strong experience with Autosys or similar enterprise schedulers
5+ year of strong testing experience including JUnit and automated testing practices
5+ year of strong experience working in Agile SDLC environments

Nice To Haves

Experience with event-driven messaging platforms such as Apache Kafka
Experience with distributed caching technologies such as Redis and/or Apache Ignite
Experience with NoSQL databases such as MongoDB
Capital Markets Fixed Income domain experience, including pricing, risk, P&L, and trade lifecycle
Exposure to low latency eTrading systems and connectivity
Optional UI experience with TypeScript/Angular, OpenFin, and Figma

Responsibilities

Lead design and delivery of Java/Spring Boot based microservices supporting real-time pricing, risk, P&L, and trade lifecycle workflows.
Build and operate low-latency, highly resilient services using REST and event-driven architectures.
Own code quality, testing strategy, CI/CD pipelines, and production readiness for supported platforms.
Drive DevOps practices across Kubernetes/OpenShift, Docker, Jenkins/uDeploy, Gradle, and Autosys.
Troubleshoot and resolve complex production and performance issues in a real-time trading environment.
Partner closely with Front Office traders, Middle Office, Product, and Platform teams.
Mentor and provide technical guidance to less experienced engineers.