Software Engineer II - 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. Analyze user stories and technical requirements, and design, develop, test, and maintain high-quality software applications and services. Design, develop, and enhance application components, RESTful APIs, and microservices while ensuring scalability, performance, and maintainability. Participate in technical design discussions and contribute to solution design and architecture for assigned features and components. Develop clean, efficient, and well-documented code, perform unit and integration testing, and support automation initiatives to improve software quality. Participate in code reviews and contribute to maintaining engineering standards, development best practices, and reusable components. Collaborate with Product Managers, Architects, QA, and cross-functional teams to refine requirements, estimate work, and deliver features in an Agile environment. Troubleshoot, debug, and resolve production issues while supporting application reliability and continuous improvement initiatives. Develop a strong understanding of application architecture, business processes, and integrations with enterprise platforms and services. Contribute to CI/CD automation, DevOps practices, and application monitoring to improve development efficiency and operational stability. Evaluate and recommend improvements to existing solutions, tools, and development practices to enhance application performance and developer productivity. Effectively communicate technical solutions, implementation approaches, and progress to team members and business stakeholders. 4+ years of experience designing and developing cloud-native data engineering solutions and scalable data pipelines. 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. Strong understanding of data ingestion, ETL/ELT, data transformation, data quality, metadata management, and canonical data modeling. Experience integrating enterprise applications and cloud platforms using REST APIs, event streaming, webhooks, messaging technologies, and batch data ingestion. Experience working with Apache Kafka, Google Pub/Sub, or similar messaging and event streaming platforms. Strong proficiency in SQL, data modeling, and working with relational and NoSQL databases to support 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, data marts, semantic datasets, data virtualization, or Metrics as a Service platform. Experience working in Agile environments with Git, CI/CD, and DevOps practices. Strong analytical, troubleshooting, and problem-solving skills with excellent communication and collaboration abilities. Demonstrated ownership, curiosity, and a passion for building scalable, reliable, and reusable data platforms. Good to Have: Experience with Java for developing backend services or data integration components. Exposure to data virtualization, semantic data layers, customer interaction analytics, or customer journey analytics. Familiarity with Generative AI, including LLMs, Retrieval-Augmented Generation (RAG), vector databases, semantic search, or AI-enabled analytics. Experience with workflow orchestration tools such as Apache Airflow, Cloud Composer, or similar scheduling platforms. Experience modernizing enterprise data platforms and migrating data workloads to Google BigQuery or other cloud-native analytical 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.