Software Engineer III - Java/ Go, RestAPI - GNST

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 Global Merchant and Network Services Technology (GMNST) organization at American Express is responsible for modernizing the payments network to enable next-generation payments products. The team creates flexible merchant platforms to acquire, bill, pay, service and foster innovation, while enabling a payments ecosystem to connect and authenticate parties seamlessly and securely

American Express is making strategic investments in new card network products and platforms to allow the company to meet its ambitious global growth agenda. Card Network platform is a distributed near real time low latency system that is always available and highly resilient, processing transactions from around the world 24x7, 365 days a year. American Express Global Card Network Platform authorizes and processes all of the company’s customer card transactions.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• Strong programming experience in Java and/or Go, with expertise in building high-performance, low-latency, and scalable applications.
• Strong understanding of distributed systems, algorithms, data structures, and microservices architecture, with hands-on experience using technologies such as Envoy, Istio, gRPC and REST APIs.
• Experience designing and building cloud-native applications, with knowledge of Docker, Kubernetes, or OpenShift preferred.
• Experience with relational and NoSQL databases and distributed messaging systems, such as Redis, Kafka, Couchbase, and Cassandra, preferably in high-volume transaction processing environments.
• Familiarity with observability, distributed tracing, and monitoring tools, such as ELK, Grafana and Prometheus.
• Experience with software development lifecycle practices, including automated testing, CI/CD, and tools such as Jenkins and GitHub.
• Hands-on experience leveraging AI-assisted software engineering tools to improve productivity and code quality, with familiarity in building and utilizing AI agents to automate engineering workflows.
• Strong analytical and problem-solving skills, with the ability to quickly learn new technologies and business domains, challenge existing approaches, and develop innovative solutions.
• Effective written and verbal communication skills, with the ability to collaborate across cross-functional teams. oral and written communication skills.
• Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Responsibilities

As an Engineer III, you will design, develop, and maintain core capabilities of card transaction processing systems built on distributed platforms deployed in hybrid cloud environments. You will contribute to building scalable, high-performance, secure, and resilient payment solutions while leveraging modern engineering practices and AI-assisted development tools.

• Design, develop, and maintain high-performance, scalable microservices using Java, Vert.x, Spring Boot, Spring MVC, Spring Data, and RESTful APIs.
• Contribute as a core member of an Agile team, owning feature development, unit testing, API integration, automation, and production readiness.
• Effectively leverage AI-assisted engineering tools and coding agents across development, testing, debugging, and code reviews to improve engineering productivity and code quality.
• Develop and utilize reusable AI agent skills and automated engineering workflows to streamline code reviews, test generation, root cause analysis, and repetitive development tasks.
• Ensure production resiliency, performance, security, and reliability through proactive risk identification, comprehensive testing, troubleshooting, and continuous improvement.
• Collaborate with Product, Architecture, QE, SRE, and geographically distributed engineering teams to analyze requirements and deliver effective technical solutions.
• Contribute to technical design discussions, code reviews, engineering standards, and reusable platform capabilities.
• Foster a culture of innovation, experimentation, and continuous learning by exploring emerging technologies and applying practical improvements to engineering workflows.
• Maintain accountability for the quality, security, and correctness of AI-assisted code and solutions, adhering to enterprise engineering and responsible AI standards.