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Software Engineer III

Summary

Develops and maintains fintech credit systems (modernizing backend platforms) using Java/Spring Boot microservices, APIs, and AI tools to support global operations, with leadership in Agile teams, testing, and observability.

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

Credit, Fraud & Collections operates within a broader Global Servicing and Corporate technology organization, managing assisted servicing platforms for customers with high outstanding balances and across all stages of the credit lifecycle. It also supports internal collections operations and facilitates the transfer of accounts to external agency partners.

The Credit backend systems are being modernized to enable a unified architecture and decouple tightly integrated systems. It includes distributed business processes, integrating with different systems of records, and API interfaces to manage the Credit concern lifecycle, leveraging a component-based, event-driven, microservices architecture.

  • Perform key aspects of software development for assigned applications including design, developing prototypes, and coding assignments.
  • Function as a member on an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
  • Debug software components and identify code defects for remediation.
  • Leads deployment, support, and monitoring of software across test, integration, and production environments.
  • Automate deployments in test or production environments.
  • Use AI tools for improved productivity and efficiency

Leadership

  • Takes accountability for the success of the team achieving their goals.
  • Drives the team’s strategy and prioritizes initiatives.
  • Influence team members by challenging status quo, demonstrating risk taking, and implementing innovative ideas.
  • Be an efficiency multiplier for the team by analysing and collaborating to enable the team to be more effective, productive, and demonstrating faster and stronger results.
  • Mentor and guide team members to success within the team.
  • 8+ years of software development experience in a professional environment and / or comparable experience.
  • Hands-on expertise with application design, software development and automated testing
  • Experience in Agile development methodology.
  • Hands-on experience in using AI tools like Github Co-Pilot, ChatGPT for improved productivity during every phase of the project development lifecycle
  • Expertise with Java, Microservices, Spring Boot, XML, JSON, Web services technologies, and data structure fundamentals, with experience in multi-threaded programming
  • Experience in Vert.x and Reactive programming is an added advantage
  • Experience with RESTful API design and development using Java, J2EE, Relational and NoSQL DBMS
  • Experience in testing related frameworks and tools (Junit, Cobertura, Mockito, SonarQube, SOAPUI, Postman, JMeter).
  • Experience with continuous integration/deployment (Jenkins, Git, Maven, Gradle, XLR).
  • Experience in various application monitoring and observability tools (Splunk, Grafana, ELK)
  • Expertise in objected oriented analysis and design across a variety of platforms.
  • Ability to effectively communicate to internal and external business partners on architecture and solution design.
  • Bachelor’s degree in computer science, computer science engineering, or related experience required, advanced degree.

Preferred Qualifications

  • Collaborates with leadership across multiple teams to define solution requirements and implementation Engineering & Architecture
  • Demonstrate expertise to help team members overcome software development challenges.
  • Solves coding problems outside of day-to-day responsibilities.
  • Adopts an automation- and AI-first approach to problem-solving.

See also

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