Sr Software Engineer II

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. The Enterprise CRM Solutions team was created as part of the company’s Framework for Winning, with a mission to reimagine the platform and solution-delivery model to improve strategic agility, speed to market, effectiveness of delivery, and transparency. The Enterprise Customer Relationship Management Solutions (ECRMS) team develops capabilities for the Sales and Customer domains, harnessing Data-GCP, SAAS, Machine Learning, and Artificial Intelligence to enable powerful selling and re-selling experiences, acquire new customers, and deepen existing client relationships. We are seeking a highly experienced Senior Engineer – CRM, Data & Cloud Platforms to help architect and build the next generation of enterprise CRM capabilities. This is a hands-on senior engineering role at the intersection of Salesforce, Google Cloud Platform (GCP), data engineering, APIs, distributed systems, and data security. The engineer will design and develop secure, scalable, resilient, and observable solutions that connect Salesforce with enterprise data platforms and enable trusted data to be accessed and consumed across CRM, analytics, ML, and AI use cases. The ideal candidate brings deep software engineering expertise and approaches data and APIs as products—creating reusable, well-governed capabilities with clear contracts, ownership, documentation, security, quality, discoverability, reliability, and service-level expectations.