Full Stack Developer

Wells Fargo Bank•Charlotte, NC

2d•Hybrid

About The Position

Wells Fargo is seeking a Senior Software Engineer to join its Corporate & Investment Banking Technology team. The role develops innovative software supporting critical business capabilities across a global organization, working across front-end development, back-end services, intelligent automation, and AI-driven engineering. The engineer builds scalable applications to improve software delivery and operational efficiency and accelerate innovation. The position uses modern technologies such as cloud platforms, microservices, automation frameworks, and Generative AI tools, and collaborates with cross-functional teams to deliver high-quality solutions, intelligent testing and automation capabilities, and technology initiatives supporting business growth, operational excellence, and client experience. The role leads moderately complex technical initiatives and projects, contributes to strategy planning, and designs, codes, tests, debugs, and documents technology solutions. It also evaluates technical challenges, resolves issues, supports client needs, collaborates with peers and managers, acts as an escalation point, and guides less experienced staff. The position has a hybrid work schedule and is based in Charlotte, North Carolina. It is not eligible for visa sponsorship, and relocation assistance is unavailable.

Requirements

At least 4 years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination.
At least 4 years of Core Java experience.
At least 2 years of Spring Boot experience.
At least 2 years of experience designing and building REST APIs, microservices, and event-driven integrations.
At least 2 years of experience with one or more of React JS, JavaScript, TypeScript, HTML5, or CSS3.
At least 2 years of experience with automated testing frameworks such as Playwright, Cucumber, Selenium, Result Logger, Hyper Execute, Octane, or Quality Test Engineering principles.
At least 2 years of experience with CI/CD pipelines and DevOps practices using tools such as GitHub Copilot, GitHub Actions, Harness, Jenkins, or equivalent platforms.
At least 2 years of cloud experience, such as Red Hat OpenShift Platform, Kubernetes, and Docker.

Nice To Haves

Experience modernizing legacy applications and contributing to cloud-native transformation initiatives.
Experience with AI-powered intelligent automation solutions using human-assisted, autonomous, or agentic AI workflows to support reliable software delivery.
Familiarity with artificial intelligence, LLM, or Generative AI technologies.
Experience with AI-assisted development tools such as GitHub Copilot, Devin, Claude, and prompt engineering to improve engineering productivity and software quality.
Experience contributing to Agile teams using Scrum, Kanban, or similar delivery methodologies.

Responsibilities

Lead moderately complex initiatives and deliverables within technical domain environments.
Contribute to large-scale strategy planning.
Design, code, test, debug, and document projects and programs associated with the technology domain, including upgrades and deployments.
Review moderately complex technical challenges requiring in-depth evaluation of technologies and procedures.
Resolve moderately complex issues and lead a team in meeting existing or potential client needs, applying understanding of the function, policies, procedures, and compliance requirements.
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals.
Lead projects, act as an escalation point, and provide guidance and direction to less experienced staff.
Develop scalable applications across front-end development, back-end services, intelligent automation, and AI-driven engineering.
Advance intelligent testing and automation capabilities and contribute to technology initiatives supporting business growth, operational excellence, and client experience.