Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ

Business Unit / Role Specific Info

Enterprise Technology Services teams build and support technology capabilities that help American Express deliver service excellence at global scale. You may work with engineers, product partners, architecture, information security, risk, operations, and business stakeholders to create software solutions that are dependable, maintainable, and aligned to enterprise standards.

What You’ll Do

• Support the design, development, testing, and maintenance of software applications, APIs, services, and technical components under guidance.
• Write clean, readable, and maintainable code using modern programming practices and team engineering standards.
• Assist with debugging, troubleshooting, code reviews, unit testing, integration testing, and production-readiness activities.
• Collaborate with product owners, engineers, analysts, and business partners to understand requirements and deliver customer-focused features.
• Contribute to Agile team ceremonies, including sprint planning, stand-ups, demos, retrospectives, and backlog refinement.
• Document technical decisions, code behavior, dependencies, configuration details, and support procedures to promote knowledge sharing.
• Help strengthen reliability, security, performance, accessibility, and quality across software solutions.
• Learn and apply enterprise expectations for secure software development, privacy, risk, compliance, and appropriate escalation.

What You’ll Learn

• How enterprise software is built, tested, deployed, monitored, and supported at scale.
• How to translate business needs into well-structured technical solutions that support customers and colleagues.
• How engineering teams use Agile practices, CI/CD, version control, automated testing, observability, and operational readiness.
• How to partner across technology, product, security, risk, and business teams in a global organization.
• How to grow technical depth, communication skills, ownership, and professional confidence in a supportive early-career environment.

Minimum Qualifications

• Must have earned a Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or other technical field before the full-time start date.
• Coursework, academic projects, research, internships, open-source contributions, hackathons, or extracurricular experience involving software development.
• Programming ability in one or more languages such as Java, Python, JavaScript, TypeScript, C#, C++, or similar.
• Understanding of computer science fundamentals, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
• Interest in software engineering practices such as API development, web applications, backend services, data integrations, automation, and cloud-enabled delivery.
• Ability to learn new technologies, ask thoughtful questions, and apply feedback in a team environment.
• Clear communication, collaboration, documentation, curiosity, accountability, and a customer first mindset.
• Familiarity with APIs, microservices, cloud platforms, containerization, CI/CD pipelines, automated testing, monitoring, or operational support concepts.
• Experience with Git or similar version control tools and collaborative software development workflows.
• Exposure to advanced AI software engineering concepts such as LLM integrations, prompt engineering, prompt evaluation, embeddings, retrieval-augmented generation, vector search, AI agents, agentic workflows, or human-in-the-loop review.
• Interest in secure coding, accessibility, observability, reliability engineering, developer experience, AI-enabled development tools, or enterprise-scale systems.

Preferred Qualifications

• Master’s degree candidates with an expected graduation date between December 2026 and June 2027.

• Foundational experience with writing, testing, debugging, and documenting code.
• Understanding of software development lifecycle concepts, version control, test practices, and collaborative engineering workflows.
• Strong communication, collaboration, documentation, learning agility, and problem-solving skills.
• Interest in building software applications across web, mobile, backend, cloud, API, microservices, or full-stack environments.
• Exposure to software development across backend, frontend, cloud, mobile, API, data, or full-stack environments.
• Familiarity with building or integrating AI enabled applications using APIs, data pipelines, model inference endpoints, evaluation workflows, or cloud-based AI services.
• Awareness of responsible AI practices, including model reliability, explainability, privacy, security, governance, bias mitigation, guardrails, and validation of AI-generated outputs.
• Experience with modern software development practices such as version control, testing, code reviews, Agile methodologies, and collaborative development.
• Curiosity for emerging technologies, including artificial intelligence, machine learning, developer productivity tooling, automation, and responsible AI practices.
• Strong communication, teamwork, collaboration, learning agility, and the ability to learn emerging technologies

Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Technology Areas and Preferred Skills

American Express software engineers may be aligned to different technology teams based on business needs, project requirements, and individual strengths. Experience in one or more of the following areas is beneficial:

• Back-End Engineering: Java, Python, Go, APIs, microservices, distributed systems, Big Data, or data-oriented engineering concepts.
• Front-End Engineering: JavaScript, React, TypeScript, REST APIs, accessibility, and user experience principles.
• Cloud Engineering: Cloud-native development, microservices, CI/CD, containerization, DevOps practices, and infrastructure-aware engineering.
• AI & Machine Learning Engineering: Python, Java, machine learning fundamentals, AI-powered developer tools, data processing, automation, responsible AI concepts, and agentic workflow awareness.
• Mobile Engineering: Swift, Kotlin, API integration, mobile testing frameworks, mobile architecture, and UI/UX fundamentals.
• Core Skills Across All Areas: Problem solving, computer science fundamentals, communication, collaboration, curiosity, secure engineering, and a growth mindset.

Ideal Candidate Profile

• A graduate level early career technologist who enjoys solving problems, building software, and learning from experienced engineers.
• A collaborative teammate who values integrity, quality, service excellence, and positive impact.
• A builder who is comfortable working through ambiguity, breaking problems into smaller steps, and improving solutions over time.
• A learner who wants to grow technical capability while understanding how technology creates business and customer value.

Candidate Value Proposition

This is an opportunity to be Backed by Amex while building the skills, confidence, and network needed to grow as a technologist. You’ll work on meaningful software engineering challenges, learn from experienced teams, and contribute to technology that supports customers and colleagues around the world. Grow with us, shape the future of payments, and know that your contributions matter.