Campus Undergraduate Engineer - Software Engineer , Enterprise Technology Services

Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services
- New York, NY

New York, NY, United States(Hybrid)

** Job Description*
* At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you'll join a 12-month technical and leadership development experience while contributing as a full-time colleague on an Enterprise Technology Services team. You'll build software, collaborate with Agile teams, and help deliver secure, reliable, customer-first technology that supports the future of payments.

** About the Team*
* Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/ machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications and services that help customers, colleagues, and partners get work done reliably and securely.

** What Type Of Work Can You Expect?*
* + Develop, test, and improve software applications as part of an Agile scrum team.

+ Write clean, maintainable code; participate in code reviews; and create unit tests with guidance from experienced engineers.

+ Identify opportunities to apply new technologies, automation, and engineering practices to solve real business challenges.

+ Partner with Product Managers, Senior Engineers, Quality Engineers, Architects, and business partners to understand requirements, prioritize features, and deliver value.

+ Work across different parts of the technology stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions.

+ Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team's work.

+ Participate in graduate program learning, mentorship, networking, community, and career-development experiences while building your full-time career at American Express.

** Responsibilities*
* ** What You'll Learn*
* + How software is built and delivered "the Amex Way," including structured onboarding, developer bootcamp concepts, code quality, testing, and secure engineering practices.

+ How Product, Engineering, Quality, Security, and business partners collaborate from idea to production.

+ How to translate customer or business needs into technical solutions while balancing quality, resilience, usability, and risk.

+ How to communicate progress, ask effective questions, and share technical work with both technical and non-technical partners.

+ How to grow through mentorship, feedback, technical learning, leadership exposure, and a strong graduate cohort community.

** Qualifications*
* ** Minimum Qualifications*
* + Must have earned a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before the full-time start date.

+ Students must have a graduation date between December 2026 and June 2027

+ Experience developing products or projects in an academic, personal, internship, research, open-source, hackathon, or professional setting.

+ Exposure to backend engineering, frontend engineering, cloud engineering, mobile engineering, AI / machine learning, data engineering, API development, or full-stack product development.

+ Familiarity with Java, JavaScript, React, Type Script, Python, C#, Go, Kotlin, Node.js, REST APIs, SQL, Spring, or similar frameworks and tools.

+ Exposure to cloud-native development, microservices, containerization, CI/CD, Dev Ops, automated testing, accessibility, or secure software development concepts.

+ Interest in AI-powered development tools, generative AI, intelligent automation, responsible AI, or machine learning fundamentals.

** Preferred Qualifications*
* + Programming experience through coursework, projects, research, internships, open-source contributions, hackathons, or extracurricular activities using one or more languages such as Java, JavaScript, Python, C#, Go, Kotlin, Node.js, or similar technologies.

+ Interest in building software applications across web, mobile, backend, cloud, API, microservices, or full-stack environments.

+ Exposure to software development across backend, frontend,…