Senior Software Engineer I at American Express in New York, NY

  • Company: American Express
  • Location: New York, NY, United States
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-13

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Job description

American Express Platform Services builds and delivers enterprise platforms that enable business-critical applications to move faster from concept to production. Our mission is to accelerate time-to-market by providing modern, scalable, and reliable technology capabilities across American Express. The Global Infrastructure Customer Experience team is responsible for delivering a world-class, enterprise-wide infrastructure portal that provides a seamless, unified experience for managing infrastructure services across American Express. We are focused on simplifying how teams discover, access, and manage infrastructure capabilities while delivering an exceptional customer experience through standardized, modern, cloud-native engineering practices. We are looking for individuals who thrive in a high-performing, collaborative engineering environment and are passionate about building intuitive, high-quality user experiences. In this role, you will have the opportunity to solve complex technical challenges, influence engineering standards and best practices, and provide technical leadership and mentorship across internal infrastructure teams. If you are passionate about modern engineering, exceptional customer experiences, and helping teams build and deliver technology more effectively, this is an opportunity to make a meaningful impact at enterprise scale. As a Senior Java Developer, you will design, build, and operate scalable, secure, and highly available cloud-native applications and services that automate and simplify the delivery of infrastructure capabilities across American Express. This is a full-stack engineering role with a strong emphasis on Java and cloud-native development, leveraging technologies such as Java, Node.js, REST APIs, React, Vert.x, Kubernetes, and Red Hat OpenShift. You will play a key role in developing our enterprise infrastructure portal, creating a modern, intuitive experience that enables internal technology teams to discover, provision, integrate, and manage infrastructure services efficiently. Design and develop cloud-native applications: Architect and build scalable, resilient, and highly available applications and services running on Kubernetes-based PaaS platforms, including Red Hat OpenShift. Deliver full-stack capabilities: Develop end-to-end solutions across backend services, REST APIs, integrations, and modern web experiences, with a focus on Java-based services and React user interfaces. Build distributed systems: Design and develop services supporting distributed computing capabilities such as caching, search, resource management, job execution, asynchronous processing, and cluster management. Engineer for cloud-native environments: Apply cloud-native architecture principles, containerization patterns, Kubernetes capabilities, and platform engineering practices to build reliable and maintainable enterprise applications. Implement enterprise-grade security: Design applications with multiple layers of authentication and authorization, integrating with enterprise identity platforms such as Okta and Active Directory while adhering to established security standards. Drive observability and operational excellence: Implement logging, monitoring, and diagnostics using platforms such as Splunk and the ELK stack to rapidly identify, troubleshoot, and resolve application and integration issues across distributed environments. Leverage AI-assisted engineering: Use AI-enabled development tools such as GitHub Copilot and Devin to improve developer productivity, accelerate software delivery, and enhance code quality. Develop custom GPT-based solutions and engineering assistants that help other teams efficiently contribute code and integrate their infrastructure services with the platform. Support Linux-based services: Design, deploy, and operate services on Linux virtual machines when workloads cannot be containerized, applying strong knowledge of Linux, virtualization, networking, and containerized envir

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