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.

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.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries

Bonus incentives

6% Company Match on retirement savings plan

Free financial coaching and financial well-being support

Comprehensive medical, dental, vision, life insurance, and disability benefits

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy

Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

Free and confidential counseling support through our Healthy Minds program

Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.