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, by supporting the delivery and operations of technology capabilities, platforms, and services globally. Specifically, the team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for external customers and internal colleagues. It also encompasses product management for core enterprise platforms, as well as technology risk and information security; enterprise data governance and platforms; digital product and design; and enterprise AI platforms across American Express.

The Customer 360 platform is focused on creating a unified and intelligent customer ecosystem by integrating customer interactions, behavioral data, transactional systems, and operational insights into a single trusted platform.

The platform enables:

• Real-time customer insights and analytics
• Personalized customer experiences
• Event-driven customer engagement
• AI-powered recommendations and decisioning
• Scalable data processing and intelligent automation
• Enterprise-grade governance, observability, and reliability

This role provides an opportunity to work on cutting-edge cloud, data engineering, streaming, and AI technologies while solving large-scale enterprise engineering challenges.

We are looking for a highly motivated Software Engineer II to join our Customer 360 engineering team. The team is responsible for building scalable, intelligent, and real-time customer data platforms that enable unified customer insights, personalization, operational analytics, and next-generation AI-driven capabilities.

As part of the Customer 360 initiative, you will work on large-scale distributed systems, streaming pipelines, cloud-native applications, AI-assisted engineering workflows, and modern data platforms that process and serve high-volume customer data securely and efficiently.

You will collaborate closely with engineering, product, architecture, analytics, and platform teams to design and deliver resilient, scalable, and high-performing solutions.

Must Have Skills

• 3+ years of software engineering experience in enterprise-scale applications.
• Hands-on experience with Google Kubernetes Engine (GKE) and Kubernetes ecosystem.
• Strong programming experience in Python or Java.
• Strong experience working with NoSQL database (Preferably Couchbase).
• Hands-on experience with Google Cloud Platform (GCP) like BigQuery, Composer, GCS, DataProc, BigTable, PubSub etc
• Experience with Big Data technologies such as Apache Spark and streaming technologies such as Kafka.
• Experience using GitHub and GitHub Actions for source control and CI/CD workflows.
• Hands-on experience with Agentic AI tools such as GitHub Copilot.
• Exposure to:

• AI-assisted software development 
• AI Agents and Skills Development
• MCP Server Integration
• Prompt Engineering

• Experience with logging, monitoring, and observability tools such as ELK stack.
• Strong understanding of distributed systems, APIs, microservices, and event-driven architectures.
• Strong problem-solving, debugging, and analytical skills.
• Excellent communication and collaboration skills.

Good to Have Skills

• Knowledge of Vert.x framework.
• Experience in Customer Data Platforms.
• Domain experience in Financial Services industry.
• Experience with real-time customer analytics and personalization platforms.
• Exposure to data governance, data quality, and metadata management.
• Exposure to GenAI application development and AI platform integration.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience working in Agile/Scrum development environments.
• Ability to work in a fast-paced, collaborative engineering culture.
• Passion for innovation, automation, and modern engineering practices.