Senior Software Engineer

Job description

Senior Software Engineer About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Involve in end-to-end lifecycle of product/application development, analyse highly complex business requirements, design and write technical specifications to build or modernize enterprise applications. Design and develop scalable, secure, and highly available full-stack applications using modern architectures and cloud-native technologies. Provide coding direction to less experienced staff and develop highly complex original code. Act as an expert technical resource for modelling, simulation, analytics, and AI-driven automation initiatives. Design and implement AI-powered features such as intelligent search, chatbot integrations, recommendation engines, knowledge assistants, and automated issue triaging. Leverage Generative AI tools (GitHub Copilot, Azure OpenAI, Microsoft Copilot) to improve engineering productivity and development efficiency. Build AI-assisted workflows for vulnerability analysis, incident management, operational intelligence, and application support processes. Develop and integrate RESTful APIs, microservices, event-driven services, and AI services into enterprise applications. Verify program logic by overseeing the preparation of test data, testing, and debugging of programs. Implement observability, monitoring, logging, and AI-driven operational insights across applications. Ensure applications adhere to Secure Development Lifecycle (SDL), Responsible AI principles, security, compliance, and governance requirements. Lead projects, allocate and manage resources, and mentor less experienced engineers. Drive DevOps and MLOps practices for application deployment, AI model integration, monitoring, and lifecycle management. Support vulnerability management platforms and develop automation to improve security operations efficiency. 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: Core Development Skills 5 years of application design, development, and implementation experience. 5 years of Java and/or .NET development experience. 5 years of Angular, React, JavaScript, and modern web application development. 5 years of creating and/or integrating RESTful/SOAP web services. 3 years of experience with Unix/Linux, Autosys, JavaScript, MVC, C#, SDL Tridion, and DXA. 3 years of RDBMS integration and development (SQL Server, Oracle) and Spring Boot with JPA/Hibernate. Strong experience with HTML5, CSS3, JavaScript, AJAX, and responsive web design. Experience with Node.js is a plus. Hands-on experience integrating AI/Generative AI services into enterprise applications. Experience with Azure OpenAI Service, Azure AI Services, Microsoft Copilot Studio, or similar AI platforms. Understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search concepts. Experience building AI-powered assistants, chatbots, automated knowledge retrieval systems, or intelligent operational dashboards. Experience consuming AI APIs and integrating AI capabilities into web applications and backend services. Familiarity with GitHub Copilot, AI-assisted development practices, and developer productivity tools. Exposure to AI governance, Responsible AI principles, security, compliance, and risk management. Experience leveraging AI for vulnerability analysis, incident summarization, automated ticket classification, root cause analysis, or operational intelligence is highly desirable. Cloud, DevOps \& Security Experience with CI/CD pipelines using Jenkins, Gradle, SonarQube, GitHub Actions, or Azure DevOps. Understanding of cloud platforms such as Azure (preferred), AWS, or GCP. Exposure to containerization and orchestration technologies such as Docker and Kubernetes. Hands-on experience with Git and modern source control practices. Strong understanding of Secure Software Development Lifecycle (SSDLC/SDL). Experience with application security, vulnerability management, and secure coding practices. Familiarity with security scanning tools, SAST, DAST, dependency scanning, and vulnerability remediation processes. Data and Analytics Strong SQL skills and experience designing scalable database solutions. Knowledge of data analytics, reporting, and visualization solutions. Familiarity with vector databases, AI search technologies, and enterprise data integration is a plus. Job Expectations: Experience developing AI-enabled enterprise applications at scale. Strong exposure to Agile methodologies (Scrum, Kanban), DevOps, and MLOps practices. Development experience with multi-tier enterprise applications and microservices architecture. Experience building cloud-native applications and AI-integrated solutions. Strong communication, collaboration, and stakeholder management skills. Ability to lead technical discussions with architects, engineering leaders, and senior management. Experience working in Security Operations, Vulnerability Management, Risk Management, or Stability Operations environments. Microsoft Azure AI Engineer, Azure Developer, Azure Solutions Architect, Security Engineer, or related certifications are highly desirable. Experience with observability platforms such as App Insights, ELK, Grafana, Splunk, or Datadog is preferred. Exposure to Agile methodologies and JIRA for project tracking. Posting End Date: 30 Aug 2026 \*Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus