Software Engineer II designs, develops, tests, and debugs software applications; contributes to automation and AI-enabled solutions; completes code reviews and automated testing to maintain high-quality standards with guidance; supports and monitors applications across environments; and adheres to security, governance, and regulatory best practices.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

• Designs, develops, tests, and debugs software applications and systems, incorporating automation and AI capabilities where appropriate to improve functionality and efficiency.
• Completes software builds through consistent development practices, including the use of development tools, reusable components, automation frameworks, and documentation, with guidance from peers and leaders.
• Completes code reviews, automated testing, and validation of software, automation workflows to maintain high-quality engineering standards with guidance from peers and leaders.
• Supports, monitors, and troubleshoots software applications, automation solutions, and AI-enabled services across development, test, integration, and production environments.
• Applies automation techniques and AI-assisted development tools to improve software quality, development efficiency, and operational effectiveness.
• Adheres to software engineering, security, and regulatory best practices to ensure compliant, secure, and reliable solutions.
• Collaborates with cross-functional engineering teams to integrate software applications with enterprise systems, APIs, etc.
• Participates in the design and implementation of application capabilities under the guidance of senior engineers.
• Contributes to the continuous improvement of software development, testing, deployment, and operational processes through automation and engineering best practices.
• Collaborates and co-creates effectively with teams in product and the business to align software, automation, and AI initiatives with business objectives.

Education Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience
• Knowledge of distributed (multi-tiered) systems, algorithms, APIs, NoSQL, and relational databases.
• Knowledge of the core tools used in the planning, analyzing, designing, building, testing, deploying, configuring, monitoring, and maintaining of assigned application(s).
• Knowledge of software engineering principles, object-oriented design, application architecture, and secure coding practices.
• Knowledge of automation frameworks, CI/CD pipelines, and development tools that improve software delivery and operational efficiency.
• Knowledge of AI-assisted software development concepts, including large language models (LLMs), intelligent automation, and AI-enabled development tools.

Work Experience:

• 4+ years of software engineering and application development experience or a related technical role.
• Experience in application design, software development, automated testing, and software lifecycle management.
• Experience in object-oriented design and development using one or more programming languages.
• Experience in distributed (multi-tiered) systems, algorithms, APIs, and relational and NoSQL databases.
• Experience with Agile software development methodologies and practices such as Scrum, Kanban, iterative development, and user stories.
• Experience implementing automation solutions, CI/CD practices, or workflow automation to improve software quality and delivery.
• Experience leveraging AI-assisted development tools or AI-enabled capabilities to enhance software development and engineering productivity.
• Experience in automated testing and documentation (e.g., unit, integration, functional, regression, and performance testing).