Software Engineer II

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

Minimum Qualifications :

· Bachelor's degree in Computer Science, Cybersecurity, Engineering, Data Science , or a related technical field.

· 5+ years of software engineering, security engineering, security analytics, or related technical experience .

· Strong programming and automation skills using Python .

· Strong experience working with REST APIs and structured/semi-structured data.

· Hands-on experience with Elasticsearch , including querying and analyzing large datasets.

· Strong understanding of HTTP/HTTPS, REST APIs, Layer 7 protocols, web applications, and internet-facing application architectures .

· Ability to independently perform detailed investigations, formulate hypotheses, analyze data, and distinguish legitimate activity from suspicious or malicious behavior.

· Demonstrated ability to convert manual analytical processes into Python-based automation and repeatable engineering solutions .

· Practical experience using Generative AI and AI-assisted development tools , including ChatGPT, GitHub Copilot, or comparable technologies.

· Familiarity with modern software engineering practices, including Git, CI/CD, testing, code reviews, and secure development practices .

· Strong analytical, problem-solving, and communication skills.

Preferred Qualifications :

· Experience working on Docker, Kubernetes and Kafka.

· Experience analyzing large-scale application logs, security telemetry, network data, API traffic, or cybersecurity datasets .

· Working knowledge of cybersecurity concepts related to bots, application security, API security, fraud, account takeover, and automated attacks .

· Experience with cloud security platforms such as Cloudflare, Akamai WAF/Bot manager , or comparable technologies.

· Experience with SIEM, security analytics, observability, or threat detection platforms .