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Wells Fargo is seeking a Lead Software Engineer for the Money Movement Product Technology team within WIMT. This role designs and delivers secure, scalable platforms supporting critical payment and transfer capabilities. The engineer applies strong software fundamentals, technical leadership, and AI‑enabled automation to modernize money movement workflows, improve straight‑through processing, and enhance client experience within a regulated financial environment.
Job Responsibility:
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Requirements:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of hands‑on .NET C# experience
2 + years of RESTful or SOAP web services
Nice to have:
Experience with Generative AI, including using GenAI tools to develop/manage code workflows, designing and implementing GenAI workflows, and building solutions using agentic AI frameworks
Experience architecting, designing, and managing applications end‑to‑end
Experience with container orchestration platforms such as OpenShift
Strong software engineering background with experience building and operating production‑grade systems (e.g., distributed services, APIs, CI/CD integrations).
Demonstrated experience applying Generative AI and/or agentic AI to real‑world workflows, including LLM‑based automation, AI agents, or copilots embedded in developer tools or platforms.
Ability to translate engineering and delivery pain points into AI‑driven solutions with measurable impact (e.g., flow efficiency, quality, cycle time, or developer productivity).
Strong collaboration skills with product, platform, and architecture partners, and the ability to influence SDLC evolution through working software rather than process alone
3+ years of software development lifecycle (SDLC) and Agile methodologies
3+ years of experience building CI/CD pipelines and deploying applications to cloud environments