About this role: Wells Fargo is seeking a Senior Software Engineer. Wells Fargo is seeking a highly skilled Senior Python Full Stack Software Engineer with strong expertise in automation, testing, and enterprise application engineering. This role will work across home‑grown and COTS applications, building automation frameworks, developing test solutions, supporting large‑scale initiatives such as data center migrations, and driving vulnerability remediation efforts. In addition, the engineer will contribute to AI‑driven initiatives which may include building Agentic workflows, implementing Retrieval‑Augmented Generation (RAG), using Model Context Protocol (MCP), and enabling analytics‑driven insights across engineering processes based on business need. The ideal candidate is comfortable blending traditional software engineering with modern AI tools and methodologies. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: Application Automation & Full‑Stack Engineering Design and build automation solutions for enterprise applications (home‑grown and COTS) using Python and modern frameworks. Develop backend services, REST APIs, microservices, and automation utilities. Build intuitive front‑end interfaces using frameworks like React, Angular, or Vue.js. Automate operational workflows, deployments, functional validations, and configuration checks. Test Development & Quality Engineering Build automated test frameworks (unit, integration, functional, regression) using Python tools such as PyTest, Robot Framework, or Playwright. Implement CI/CD‑integrated automated testing for application deployments and upgrades. Create synthetic data generation scripts and AI‑assisted test scenario creation. Conduct performance testing and reliability assessments for migrated or modernized applications. Data Center Migration & Application Modernization Partner with infrastructure, platform, and app owners to support data center migration activities. Build automation for environment validation, pre‑/post‑migration functional checks, and regression testing. Modernize legacy scripts, APIs, and workflows for cloud and container-based architectures. AI, Agentic & Intelligent Automation Solid understanding, which could later be used in building solutions involving predictive analytics, Large Language Models (LLMs), Generative AI, or agentic AI, neural networks (GNNs), Agentic AI solutions to automate multi‑step engineering workflows, implement RAG (Retrieval‑Augmented Generation), MCP (Model Context Protocol). Experience with AI frameworks like LangChain and LangGraph, libraries such as TensorFlow, PyTorch, Transformers, Hugging Face, and Scikit-learn. Apply AI/ML techniques for anomaly detection, intelligent test coverage, analytics, and predictive automation, Use AI‑powered tools (GitHub Copilot, MS Copilot, etc.) to enhance productivity, code generation, testing, and documentation. Collaboration & Technical Leadership Participate in design reviews, enforce engineering best practices, and ensure high-quality code delivery. Work with product owners, SMEs, and operations teams to translate requirements into technical solutions working with Lead and Principal engineers Job Expectations: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 6+ years of experience in full‑stack development with strong expertise in Python . Hands‑on experience with Django, Flask, or FastAPI. Strong front‑end experience with React, Angular, or Vue.js. Deep knowledge of test automation frameworks (PyTest, Robot, Selenium, Playwright). Expertise with enterprise automation, APIs, microservices, and CI/CD tools. Experience working with COTS applications and enterprise system integrations. Solid experience in analyzing and remediating application vulnerabilities. Working knowledge of Docker, Linux, Git, and cloud-ready development patterns. Practical experience using AI development tools (GitHub Copilot, MS Copilot, etc.). Experie