Jobs at American Express

Positions 513,715

American Express, a global financial services leader, has expanded its tech footprint into digital payments, fraud prevention, and data analytics. The company leverages cloud, AI, and open banking APIs to deliver secure, customer‑centric solutions.

Openings span software engineering, data science, cybersecurity, UX/UI design, product management, and cloud infrastructure. Candidates can expect rigorous coding challenges, cross‑functional sprint cycles, and opportunities to work on large‑scale payment platforms that serve millions of customers worldwide.

Job Transparency shows American Express salaries, bonus structures, and employee sentiment side by side. Accessing this data lets candidates benchmark offers, negotiate confidently, and assess cultural fit before applying.

No open positions at American Express right now.

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Frequently Asked Questions

What is it like to work at American Express?
American Express promotes a collaborative environment with mentorship programs, industry‑certification sponsorships, and a focus on continuous learning. Employees frequently cite the company’s commitment to work‑life balance, global mobility options, and inclusive culture as key strengths.
What types of positions are available at American Express?
The company hires across tech disciplines: backend and frontend engineering, data engineering, machine‑learning research, security operations, cloud architecture, UX research, product management, and DevOps. Positions range from entry‑level developer roles to senior leadership and include both onsite and fully remote opportunities.
How can I stand out as an applicant for American Express?
Tailor your résumé to highlight relevant tech stacks—Java, Python, AWS, Kubernetes—and quantify achievements with metrics (e.g., reduced fraud detection time by 30%). Showcase security or compliance certifications (CISSP, CCSP, AWS Certified Security – Specialty). Prepare STAR‑formatted stories that demonstrate how you solved complex payment‑technology problems, and practice coding challenges that emphasize clean architecture and data‑driven decision making.

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