Top Engineering Jobs in Charlotte, NC

The role involves developing the Vasara risk platform, integrating analytics, delivering high-quality software, and mentoring staff. Requires extensive experience in securities quantitative analytics and Java coding.

The Lead Systems Architect will influence technology strategy in Banking Operations, implement complex projects, create architectural artifacts, and ensure compliance with architectural standards while advocating for innovation and modernization in financial services.

The Lead Angular Software Engineer will manage application design, development, and lifecycle management for Payments services, lead initiatives in an agile environment, and mentor team members while driving technological solutions and efficiency across teams.

Lead the design and delivery of complex technology solutions for payments, leveraging extensive full stack engineering and architecture expertise.

Develop and optimize infrastructure services, focusing on machine learning and statistical modeling, while ensuring compliance and continual service improvement.

This role involves architecting and engineering large-scale multi-tenant enterprise data platforms, focusing on platform architecture, scalability, security, and operational excellence. Responsibilities include designing data lakes, managing multi-tenant environments, and implementing data governance and compliance policies.

The Lead Java Payments Engineer will oversee complex technology solutions in payments, lead initiatives, and develop industry standards while collaborating with technical teams.

The Payments Lead Business Systems Consultant role at Wells Fargo involves supporting quantum security operations, engaging with vendors, conducting evaluations of technologies, and enhancing documentation processes.

The role involves designing, developing, and implementing software solutions on SAP technologies, focusing on data integration and backend services for Corporate Properties Group.

Lead the design and execution of enterprise document processing automation initiatives leveraging GenAI and advanced AI technologies. Drive strategic leadership and collaboration across teams to enhance operational efficiency and risk management, while managing high-performing teams of engineers and data scientists.