About this role
Software Engineer, One Data Platform
American Express is seeking a highly skilled and experienced Software Engineer to join the One Data platform team within Enterprise Architecture. This role is a key part of the organization’s technology strategy and supports the design, development, and delivery of scalable platform capabilities that enable engineering teams across the enterprise to build and deploy microservices at scale.
Enterprise Architecture plays a critical role in shaping the company’s technology direction through four core pillars: Architecture as Code, Architecture as Design, Governance, and Colleague Enablement. The One Data platform team is focused on building foundational technologies that empower teams across American Express to deliver modern, resilient, and high-performing software solutions.
- 5+ years of professional software development experience, with strong expertise in Java and working knowledge of Python for backend or data-driven applications.
- Deep experience with Java ecosystems and frameworks such as Spring, Spring Boot, or equivalent technologies.
- Proven experience in full-stack development, including backend services and modern frontend frameworks such as React, Angular, or similar.
- Strong experience designing and implementing RESTful APIs, microservices, and service-to-service integrations.
- Solid understanding of distributed systems, concurrency, scalability, and performance optimization.
- Hands-on experience with relational and/or NoSQL databases, including PostgreSQL, MySQL, Oracle, Cassandra, DynamoDB, or MongoDB.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience with messaging and streaming platforms such as Kafka, RabbitMQ, or JMS.
- Practical experience with cloud platforms such as AWS, Azure, or GCP and cloud-native development patterns.
- Hands-on experience in test data generation, unit testing, and test execution.
- Experience with API design standards, Open API/Swagger, versioning, and contract-driven development.
- Hands-on experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or GitLab CI.
- Proficiency in Agile/Scrum methodologies and modern software development lifecycle practices.
- Bachelor's degree in computer science, Engineering, or equivalent practical experience; advanced degree preferred.
Preferred Qualifications
- Basic understanding of AI/ML concepts and Generative AI technologies, including LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
- Strong Linux and Unix shell proficiency, including shell scripting and troubleshooting.
- Experience with NGINX, HAProxy, Envoy, Docker, Kubernetes, Terraform, or similar technologies.
- Strong source control skills using Git.
- Experience with observability and monitoring platforms such as Splunk, Elastic, Datadog, Prometheus, or Grafana.
- Good understanding of JVM internals and the ability to diagnose issues using thread dumps, heap dumps, JFR, VisualVM, or similar tools.
- A proactive and collaborative mindset with a strong desire to document technical knowledge and improve team productivity.
Core Competencies
- Systems thinking and the ability to reason about edge cases, failure modes, and operational behavior.
- Strong communication and collaboration skills, including asynchronous communication and cross-functional coordination.
- Enthusiastic, ownership-driven approach to problem solving and continuous improvement.
- Ability to deliver quickly, iterate rapidly, and adapt to changing priorities in a dynamic environment.
Depending on factors such as as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.