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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer III - Global Servicing... - **Company:** American Express Company - **Location:** Sunrise, FL, United States - **Experience:** Expert - **Salary:** $103,750.0 - $174,750.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Build Automation, Microsoft Azure, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Code Review, Continuous Integration, Extract Transform Load (ETL), Data Transformation, Data Virtualization, DevOps, Distributed Computing Environment, Python (Programming Language), Enterprise Messaging Systems, NoSQL, Performance Tuning, Cloud Services, Cloudera, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Working Model 2D, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Large Language Models, Apache Spark, Spring-boot, Generative AI, Backend, Git, Pyspark, Deployment Automation, Google Cloud Functions, Data Analytics, Google Bigquery, Real Time Data, Apache Kafka, Data Management, Software Coding, Restful APIs, Webhooks, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://www.juju.com/job/00000000gi2c3z ## About the Role + 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, semanticsearch, 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. ## Description 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. Responsibilities + 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., 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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