Sr Software Engineer I - Java - One Data Platform

American Express is seeking a highly skilled and experienced Senior Software Engineer to join the One Data platform team within Enterprise Architecture. This role is a key part of the organization’s technology strategy and supports the design, development, and delivery of scalable platform capabilities that enable engineering teams across the enterprise to build and deploy microservices at scale. Enterprise Architecture plays a critical role in shaping the company’s technology direction through four core pillars: Architecture as Code, Architecture as Design, Governance, and Colleague Enablement. The One Data platform team is focused on building foundational technologies that empower teams across American Express to deliver modern, resilient, and high-performing software solutions. Design, develop, and deliver scalable, high-quality software solutions across the full stack using Java and Python for enterprise-grade platform services and applications. Lead the architecture and implementation of distributed systems with a strong emphasis on performance, reliability, maintainability, and operational excellence. Own end-to-end delivery of features, from design and implementation to deployment, monitoring, and production support. Act as a senior technical contributor in an Agile environment, guiding best practices in software engineering, testing, documentation, and continuous delivery. Mentor junior engineers through code reviews, design discussions, and knowledge-sharing activities. Collaborate closely with architects, product managers, and cross-functional stakeholders to translate business requirements into scalable technical solutions. Build and evolve RESTful APIs, microservices, and event-driven systems with strong service contracts and backward compatibility. Improve CI/CD pipelines, automate testing, and enhance developer productivity through modern engineering practices. Identify bottlenecks, debug complex production issues, and perform root-cause analysis to drive long-term fixes. Design systems with a focus on scalability, resilience, observability, monitoring, logging, and alerting. Contribute to cloud-native transformation initiatives, including containerization, infrastructure as code, and auto-scaling architectures. Influence technical direction by challenging assumptions and proposing innovative, pragmatic solutions. Take accountability for delivering high-impact outcomes aligned with team and organizational goals. Basic understanding of AI/ML concepts and Generative AI technologies, including LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG). Strong Linux and Unix shell proficiency, including shell scripting and troubleshooting. Experience with NGINX, HAProxy, Envoy, Docker, Kubernetes, Terraform, or similar technologies. Strong source control skills using Git. Experience with observability and monitoring platforms such as Splunk, Elastic, Datadog, Prometheus, or Grafana. Good understanding of JVM internals and the ability to diagnose issues using thread dumps, heap dumps, JFR, VisualVM, or similar tools. A proactive and collaborative mindset with a strong desire to document technical knowledge and improve team productivity. Core Competencies Systems thinking and the ability to reason about edge cases, failure modes, and operational behavior. Strong communication and collaboration skills, including asynchronous communication and cross-functional coordination. Enthusiastic, ownership-driven approach to problem solving and continuous improvement. Ability to deliver quickly, iterate rapidly, and adapt to changing priorities in a dynamic environment.