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American Express logo

Sr Software Engineer II - Java, AI - Amex Offers & Digital Media

American Express
Posted 2 hours ago
🇺🇸United States🏢Hybrid📁Data & Analytics
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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 U.S. Consumer Services and Membership Digital Experiences Technology team (USCDT) brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), marketing and advertising technology, enterprise communications, travel and lifestyle, and dining technology. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments. ​ ​Amex Offers & Digital Media: Be part of exciting and innovative initiatives and join a team of creative, curious, and passionate professionals whose mission is to become the future of American Express by staying on the cutting edge of technology and bringing innovation to life! The Brand Experience and Engagement Technology team leads the Event Marketing and AdTech technology strategy and platforms. Build and deliver enterprise-scale, cloud-native applications using an AI-first software development approach that combines engineering expertise with intelligent AI agents. Design, develop and maintain highly scalable, secure and resilient APIs, microservices and event-driven services that power critical customer and enterprise experiences. Build modern, responsive and accessible frontend applications that deliver intuitive user experiences while leveraging AI-assisted development to accelerate delivery and improve quality. Own the full software development lifecycle across frontend, backend, APIs, integrations and production deployment, using AI-native engineering practices to increase velocity and engineering excellence. Leverage AI development platforms including GitHub Copilot, Devin, Claude, Cursor and other autonomous engineering tools to accelerate solution design, implementation, testing, debugging and documentation. Design effective AI workflows, prompts and reusable engineering playbooks that improve developer productivity and enable consistent, high-quality software delivery. Review, validate and optimize AI-generated code to ensure scalability, maintainability, security and compliance with enterprise engineering standards. Collaborate with product, architecture, platform and security teams to translate business requirements into scalable technical solutions that embrace AI-assisted software delivery. Build automated quality into every stage of development through AI-assisted testing, intelligent code reviews, continuous integration and continuous deployment. Drive adoption of AI-native engineering practices across teams while mentoring engineers on effective human and AI collaboration. Continuously evaluate emerging AI technologies and identify opportunities to improve engineering productivity, software quality and developer experience. Required Technical Experience AI Native Software Engineering Demonstrated experience building software using AI-assisted development tools such as GitHub Copilot, Devin, Claude, Cursor, Codex or equivalent AI engineering platforms. Strong understanding of Agentic AI development, prompt engineering, autonomous workflows, AI orchestration and human-in-the-loop software engineering. Experience integrating AI capabilities throughout the software development lifecycle, including architecture, implementation, testing, documentation and operational support. Ability to effectively review, refine and govern AI-generated code while maintaining enterprise engineering quality standards. Full Stack Engineering Strong experience building enterprise-scale full stack applications with modern frontend frameworks and backend services. Expertise designing scalable REST APIs, event-driven services and distributed microservice architectures. Experience building modern frontend applications using frameworks such as React, Next.js or equivalent technologies, with a strong focus on usability, accessibility and performance. Strong experience developing backend services using Java, Spring Boot and modern cloud-native application frameworks. Experience designing secure integration patterns, API contracts and enterprise-grade service architectures. Experience working with relational and NoSQL databases and designing highly scalable data models. Experience deploying applications on cloud platforms using containers, Kubernetes and modern CI/CD pipelines. Engineering Excellence AI-first mindset with the ability to identify opportunities where autonomous engineering agents can improve productivity, quality and speed without compromising engineering rigor. Strong understanding of software architecture, design patterns, security, observability and operational excellence. Experience leading technical design discussions and making architecture decisions for enterprise-scale applications. Passion for building reusable engineering capabilities, improving developer experience and continuously evolving software delivery practices through AI innovation. Ability to balance rapid AI-assisted development with long-term maintainability, reliability and enterprise governance Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions

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