Software Engineer III - Global Servicing Technology

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. The Servicing Experiences Technology (SET) organization enhances Servicing Experiences by building smarter platforms with seamless automation and AI-driven insights- empowering Colleagues and Customers alike. Drive user story analysis and elaboration, design and develop software applications, and test and build automation tools. Own all technical aspects of software development (architecture, design and development of systems) for assigned applications. Perform hands-on software development, writing code, API specs, doing proof of concepts, conducting code reviews and testing in ongoing sprints. Drive consistent development practices - tools and common components. Develop deep understanding of tie-ins with other systems and platforms within the supported domains. Work with technical product managers contributing to blueprints, and assisting with annual planning of feature sets. Identify opportunities for adopting new technology to solve existing needs and predicting future challenges. Effectively communicate to internal and external business partners on solution design. 5+ years of professional experience designing and developing cloud-native data engineering solutions and scalable data pipelines. Strong experience building batch and streaming data pipelines using technologies such as Python, PySpark, Spark, Dataproc, SQL, or equivalent distributed data processing frameworks. Experience developing on Google Cloud Platform (preferred) or AWS/Azure using services such as BigQuery, Cloud Storage, Pub/Sub, Dataproc, Cloud Functions, Cloud Run, or equivalent cloud-native data services. Experience designing and implementing ETL/ELT pipelines, data transformation frameworks, canonical data models, and data quality controls for enterprise-scale data platforms. Experience integrating enterprise applications and cloud platforms using REST APIs, event streaming, webhooks, messaging technologies, and batch or real time data ingestion. Strong experience with Apache Kafka, Google Pub/Sub, or similar messaging and event streaming platforms. Strong proficiency in SQL, data modeling, performance optimization, and working with relational and NoSQL databases supporting analytical and operational workloads. Familiarity with CCaaS platforms and customer interaction data, including voice, chat, IVR, dialers, Agent Assist, STT/TTS, conversation transcripts, interaction events, and operational metrics. Experience supporting enterprise analytics through BigQuery, semantic datasets, data virtualization, reusable data products, or Metrics as a Service platforms. Experience working in Agile environments with Git, CI/CD, DevOps practices, and cloud deployment automation. Strong analytical, troubleshooting, and problem-solving skills with the ability to independently own technical deliverables and mentor junior engineers. Excellent communication and collaboration skills with the ability to work effectively across Product, Engineering, Architecture, Analytics, and Data teams. Good to Have: Experience with Java and Spring Boot for backend services supporting data platforms or APIs. Exposure to Context Management, Customer Journey Analytics, Contact Center Analytics, Customer Interaction Platforms, or enterprise data virtualization. Familiarity with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, semantic search, or AI-powered analytics. Experience with workflow orchestration platforms such as Apache Airflow, Cloud Composer, or similar scheduling frameworks. Experience modernizing enterprise data platforms or migrating workloads to Google BigQuery and cloud-native analytics environments. Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.