Software Engineering Intern - Early Careers - Software Engineering

## About this role: Wells Fargo is seeking aspiring Software Engineers to join the 2027 Technology Internship Program. ## Program Overview: The Wells Fargo Technology Internship Program provides participants with a 10-week experience designed to immerse students in real-world engineering, modern software development practices, and enterprise-scale technology at Wells Fargo. The program blends technical execution with business context, emphasizing innovation, velocity, and responsible technology development. Participants will: - Work hands-on with impactful, production-aligned projects - Gain exposure to modern engineering practices and AI-enabled development workflows - Participate in structured training, mentorship, and networking with senior technology leadersUpon successful completion of the internship, qualified candidates may be considered for a full-time position in the Technology Analyst Program the following year, within the same market where the internship was completed. ## Responsibilities as a Software Engineering Intern may include: - Design, develop, test, and deploy scalable applications, including enhancements, bug fixes, and new services across enterprise platforms - Collaborate in Agile (Scrum / Kanban) teams to deliver high-quality, secure, and maintainable code ## AI-Enabled Engineering & Modern Development Practices - Leverage enterprise-approved AI tools (e.g., Copilot, Devin, etc.) and AI platforms to accelerate development - Generating unit and integration test cases aligned with Wells Fargo QA standards - Assisting with code development, documentation, and refactoring within approved toolchain boundaries - Supporting rapid prototyping and solution design exploration within sandbox/non-production environments - Partner with senior engineers to review, validate, and govern AI-generated code to ensure alignment with enterprise architecture, risk, and security standards ## Data, Platforms, and Architecture - Build and maintain APIs, microservices, and cloud-based applications - Contribute to data engineering efforts, including data modeling, pipeline development, and analytics environments - Support creation of reusable frameworks and apply modern design patterns across distributed systems