Software Engineer III - Risk Decision Technology

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.

 

This role of an Engineer will be an integral part of a team that designs and builds large-scale, cloud-native applications and drive us closer to the vision of a robust Risk Decision platform. As a Software Engineer, you will:

• Function as a member of an agile team and helps drive consistent development and test practices with respect to tools, common components, and documentation.

• Own all technical aspects of software development for assigned applications.

• Have primary focus (80%+) on writing quality code, perform unit testing, test automation, quality assurance & automation testing in ongoing sprints. 

• Passionate about applying agentic AI and advanced LLM models to automate large parts of the software development lifecycle and redefine engineering productivity

• Build new micro-services that help manages our rapidly growing footprint.

• Improve efficiency, reliability, and scalability of our data pipelines.

• Work on cross-functional initiatives and collaborate with Engineers across organizations.

• Build CICD pipelines for continuous integration and delivery.

• Build automation for application changes and deployment for faster time to market Develops deep understanding of tie- ins with other systems and platforms within the supported domains.

• Perform ongoing refactoring of code, quality assurance and testing, applying best practice methodologies and processes.

• Identify opportunities to adopt innovative technologies & ideas in development / test area.

• Provide continuous support for ongoing application availability.

• Collaborate/influence within and across teams to create successes with an innovative mindset and challenge the status quo.

   

• Bachelor’s degree in computer science, Information Systems, or other related field (or has equivalent work experience).

• 6+ years of experience in software development and quality assurance.

• 6+ years of experience in building large scale distributed applications with object-oriented design using java related stack.

• Expertise in programming knowledge in Java - Solid understanding of data structures and common algorithms

• Experience applying AI/LLM capabilities to improve software development workflows such as coding, testing, documentation, or maintenance (Copilot, Cursor, Devin etc)

• Experience with automated release management using Maven, Salt, Git, Jenkins.

• Proficient in identifying and applying software design patterns.

• Technology landscape: 

  • Java 21+, Spring Boot, Vert.X, Apache Camel, Kafka

  • Big Data: Hadoop, Hive, GCP, BigQuery, Dataflow, DataProc

  • Language Tools: Antlr, GNU Bison, Yacc

  • Couchbase, Oracle, PostgreSQL, S3

  • Distributed cloud engineering

  • React, AngularJS 

• Experience with web services and API development on enterprise platforms.

• Looks proactively beyond the obvious for continuous improvement opportunities.

• Willingness to learn new technologies and exploit them to their optimal potential.

• Good knowledge of REST API development and database technologies will be a plus.

• Experience with Docker/Openshift based deployment is a plus.

• Experience leveraging LLMs or agentic AI systems to automate or accelerate software engineering tasks such as code generation, refactoring, test creation, or documentation

• Familiarity with prompt engineering, AI-assisted coding workflows, or LLM orchestration frameworks.

• Exposure to AI-assisted development tools and workflows within modern engineering environments.

• 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.