William Curtis is a seasoned Software Engineer at Wells Fargo, where he leverages over 12 years of Java programming experience and a robust background in software installation services for content and business process management. His expertise encompasses a range of IBM products, including WebSphere Application...
William Curtis is a seasoned Software Engineer at Wells Fargo, where he leverages over 12 years of Java programming experience and a robust background in software installation services for content and business process management. His expertise encompasses a range of IBM products, including WebSphere Application Server, WebSphere Process Server, DB2 Content Manager, and IBM FileNet, positioning him as a key player in the bank's technology initiatives. In his current role, William provides technical leadership throughout the Software Development Life Cycle (SDLC), ensuring that projects are executed efficiently and effectively.
William is actively involved in key projects that focus on document management and cloud migration, utilizing cutting-edge technologies such as Pivotal Cloud Foundry (PCF) and Kubernetes. His proficiency in Behavior-Driven Development (BDD) and frameworks like Spring MVC enhances his ability to deliver high-quality software solutions that meet business needs. Additionally, his experience with Python programming allows him to contribute to diverse projects, fostering innovation and efficiency within the team.
As a forward-thinking engineer, William is committed to driving the adoption of modern development practices and tools, which not only streamline processes but also enhance collaboration across teams. His deep understanding of database management with DB2 and his hands-on experience with cloud technologies make him an invaluable asset to Wells Fargo's ongoing digital transformation efforts. With a passion for continuous learning and improvement, William Curtis is dedicated to advancing the bank's technological capabilities while ensuring the highest standards of software quality and performance.
