Job description

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. Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to approximately 70% of the S&P 500. We are the number one issuer of small business cards, the industry leader in corporate T&E and represent approximately 40% of the company’s total revenues. Our vision is to be essential to our customers’ businesses every day. We do that by offering a diverse suite of payment and cashflow tools our customers need to run and grow their businesses, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage their financial and payment needs. Supervises and mentors Software Engineers and cross-functional team of colleagues in specific tasks or projects, fostering their professional growth and ensuring adherence to best practices Provides mentorship and technical leadership to junior engineers, fostering a culture of continuous learning and improvement Leads the entire lifecycle of software applications and systems, ensuring high-quality delivery from inception to deployment Directs the technical aspects of projects, ensuring scalability, performance, and reliability Reviews code for accuracy, quality, and adherence to best practices, offering constructive feedback Establishes and enforces coding standards, development methodologies, and best practices within the team Identifies and resolves performance bottlenecks, ensuring optimal application performance Facilitates collaboration with cross-functional teams to support changes and implementations, ensuring alignment with organizational objectives Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives Leads integration of AI-assisted development capabilities across the software development lifecycle and evaluates AI-enabled tools to improve engineering productivity and outcomes Establishes best practices for AI-assisted software development within the team, including prompt design, output validation, testing approaches, governance expectations, and appropriate human accountability over outputs Bachelor's degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL, and relational databases Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s) Advanced knowledge of AI-assisted development practices, prompt design techniques, output validation approaches, and governance considerations associated with AI-enabled software development Knowledge of evaluating AI tools for enterprise environments Software engineering and development experience or a related job Expertise in application design, software development, and automated testing Experience in object-oriented design and coding with variety of languages Experience in distributed (multi-tiered) systems, algorithms, and relational databases Experience in Agile software development methodologies and practices such as Scrum/Kanban, iterations, user stories Experience in automation testing and documentation (i.e. automated, functional, and performance) Experience scaling AI-enabled development practices across teams Experience evaluating, selecting, and implementing AI-assisted development tools, including establishing validation, testing, security review, and governance practices for AI-generated outputs Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions

Requirements

Must-haves

Supervises and mentors Software Engineers and cross-functional team of colleagues in specific tasks or projects, fostering their professional growth and ensuring adherence to best practices
Provides mentorship and technical leadership to junior engineers, fostering a culture of continuous learning and improvement
Leads the entire lifecycle of software applications and systems, ensuring high-quality delivery from inception to deployment
Directs the technical aspects of projects, ensuring scalability, performance, and reliability
Reviews code for accuracy, quality, and adherence to best practices, offering constructive feedback
Establishes and enforces coding standards, development methodologies, and best practices within the team
Identifies and resolves performance bottlenecks, ensuring optimal application performance
Facilitates collaboration with cross-functional teams to support changes and implementations, ensuring alignment with organizational objectives
Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
Leads integration of AI-assisted development capabilities across the software development lifecycle and evaluates AI-enabled tools to improve engineering productivity and outcomes
Establishes best practices for AI-assisted software development within the team, including prompt design, output validation, testing approaches, governance expectations, and appropriate human accountability over outputs
Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL, and relational databases
Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s)
Advanced knowledge of AI-assisted development practices, prompt design techniques, output validation approaches, and governance considerations associated with AI-enabled software development
Knowledge of evaluating AI tools for enterprise environments
Software engineering and development experience or a related job
Expertise in application design, software development, and automated testing
Experience in object-oriented design and coding with variety of languages
Experience in distributed (multi-tiered) systems, algorithms, and relational databases
Experience in Agile software development methodologies and practices such as Scrum/Kanban, iterations, user stories
Experience in automation testing and documentation (i.e. automated, functional, and performance)
Experience scaling AI-enabled development practices across teams
Experience evaluating, selecting, and implementing AI-assisted development tools, including establishing validation, testing, security review, and governance practices for AI-generated outputs

Nice-to-haves

Bachelor's degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred

Application prep

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Keywords to mirror

aiagilescrum

Platform: oracle-cloud
Effort: medium

Benefits

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Vision