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# Lead Specialty Software Engineer - Fixed Income Spread Technology

- **Company:** Wells Fargo
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $159,000.0 - $305,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Apache HTTP Server, Automation of Tests, CA Workload Automation Ae, Software Quality, Continuous Integration, DevOps, Gradle, Design of User Interfaces, Junit, Enterprise Messaging Systems, Microsoft Office, MongoDB, NoSQL, OpenShift, Redis, Distributed Caching, Software Engineering, Strategies of Testing, TypeScript, Spring-boot, Event Driven Architecture, AngularJS, Kubernetes, Low Latency, IBM UrbanCode Deploy, Apache Kafka, Figma, Docker, Jenkins, Microservices
- **Published:** June 3, 2026
- **Apply:** https://dejobs.org/x/x/626629B7E2DD456EB8AA5EDFE398E8F3/job/

## About the Role

* 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

Desired Qualifications:

 * 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

## Description

* 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.


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