This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wells Fargo is seeking a Lead Software Engineer within the Fraud and Claims Technology team, part of the Technology for the Chief Operating Office (TCOO) group. The group manages application portfolios and drives modernization and optimization across these domains. Within TCOO, the Fraud and Claims Technology team is looking for a Lead Software Engineer to contribute to the development of the Enhanced Fraud Detection Solution (EFDES)—a proprietary fraud scoring suite designed to proactively detect and prevent fraudulent activity across multiple banking channels. At the heart of EFDES is the EFD scoring engine, which uses advanced risk models to identify high-risk transactions (suspect outsorts). This role focuses on building scalable, enterprise-grade solutions aligned with strategic business goals and requires deep technical expertise and a strong background in data engineering.
Job Responsibility:
Lead complex, enterprise-wide technology initiatives with broad impact
Develop and promote standards and best practices for engineering large-scale technology solutions
Design, code, test, debug, and document software for projects and programs
Analyze and review large-scale technology solutions in the context of strategic business objectives and technical challenges
Make decisions that influence companywide engineering practices and drive new initiatives
Collaborate with senior technical experts, internal teams, and external industry groups to resolve complex issues and achieve goals
Lead projects and mentor peers or junior engineers
Requirements:
5+ years of experience in Software Engineering, demonstrated through work experience, training, military service, or education
4+ years of experience with Java, React, and Spring Boot
3+ years of experience with RESTful APIs, microservices, and containerization (Ex. Docker, Kubernetes)
3+ years of experience with CI/CD pipelines using tools such as Jenkins, GitAction, Artifactory
Nice to have:
Background in AI/ML and Generative AI projects (e.g., model training, prompt engineering, integration)
Familiarity with cloud platforms such as Azure, GCP, or OpenShift
Experience with observability tools like Grafana, Prometheus, and Splunk
Hands-on experience crafting effective prompts for LLMs and using Python for integration and ML model development
Exposure to AIOps, SRE principles, and Infrastructure as Code
Strong communication skills with the ability to present technical concepts to leadership
Experience with NoSQL databases, SQL optimization, and data modeling
What we offer:
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance