2027 Technology Summer Internship – 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 leaders     Upon 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. #earlycareers   In this role, your 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, including:   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   Contribute to AI-augmented development workflows including automated documentation, code review assistance , and developer productivity tooling within approved SDLC processes   Explore opportunities to integrate AI/ML capabilities into applications (e.g., intelligent automation, predictive insights, natural language interfaces) in alignment with Model Risk Management (MRM) guidelines and regulatory requirements   Apply prompt engineering techniques to improve accuracy, efficiency, and reliability of AI-assisted outputs while adhering to data handling and confidentiality policies     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   Partner with architecture, product, and platform teams to support the technical evolution of services     Technology Environment   Languages/Frameworks: Java, .NET Core, Python, JavaScript (React, Node.js, Angular)   Platforms: OpenShift, Azure, Google Cloud, APIs, Microservices   Data: SQL, MongoDB, Data Pipelines, Analytics Tools   Tools: GitHub, CI/CD pipelines, AI-assisted development tools, ML frameworks (TensorFlow, NumPy, Pandas)     ** Ro les for our Cyb ers ec urity and Data Engin eering tea m s wi ll be poste d sepa rate ly in late October .      Pr ogra m Dur ation: June 2027 – August 2027 (10 weeks)     Required Qualifications :     6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education    Desired Qualifications :   Currently pursuing a b achelor’s d egree in Computer Science , Computer Engineering, or related STEM field with an expected graduation: December 2027 – June 2028   Foundational knowledge