Sr Software Engineer II - Enterprise Architecture

American Express•New York, NY

About The Position

Enterprise Architecture is an organization within the Chief Technology Office at American Express and a key enabler of the company’s technology strategy. Its four pillars are Architecture as Code, which owns and operates foundational technologies used across the enterprise; Architecture as Design, which provides solution and technical design for transformation programs and business-critical projects; Governance, which defines technical standards and develops tools to automate compliance controls; and Colleague Enablement, which focuses on colleague development, recognition, training, and enterprise outreach. The Sr Software Engineer II designs, develops, and delivers scalable, high-quality, full-stack software solutions for enterprise-grade platforms and services. The role leads the architecture and implementation of distributed systems and owns feature delivery from design through deployment, production monitoring, and support. It provides technical leadership on an Agile team, mentors junior engineers, and collaborates with architects, product managers, and cross-functional partners to turn business requirements into scalable technical solutions. The engineer also contributes to cloud-native adoption and advances engineering practices, reliability, and developer productivity.

Requirements

At least 6 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.
Experience in full-stack development, including backend services and modern frontend frameworks such as React or Angular.
Strong experience building RESTful APIs, microservices architectures, and service-to-service integrations.
Solid understanding of distributed systems, concurrency, scalability, and performance optimization.
Hands-on experience with relational databases such as PostgreSQL, MySQL, or Oracle, and/or NoSQL databases such as Cassandra, DynamoDB, or MongoDB.
Experience with containerization and orchestration, 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 and unit test development and execution.
Bachelor’s degree in computer science, engineering, or equivalent practical experience.

Nice To Haves

Basic understanding of AI/ML concepts and Generative AI technologies, including LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
Experience with API design standards, OpenAPI/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.
An advanced degree is a plus.

Responsibilities

Design, develop, and deliver scalable, high-quality full-stack software solutions using Java and Python for enterprise-grade platforms and services.
Lead the architecture and implementation of distributed systems, ensuring performance, reliability, and maintainability.
Own end-to-end feature delivery, from design and development through deployment, monitoring, and production support.
Act as a senior member of an Agile team, promoting coding standards, testing, documentation, and continuous delivery best practices.
Mentor junior engineers through code reviews, design discussions, and knowledge sharing.
Collaborate with architects, product managers, and cross-functional teams to translate business requirements into scalable technical solutions.
Build and evolve RESTful APIs, microservices, and event-driven systems, maintaining strong service contracts and backward compatibility.
Improve CI/CD pipelines, test automation, and developer productivity.
Identify system bottlenecks, debug complex issues, and drive root-cause analysis and lasting fixes.
Design systems for scalability, resilience, and observability, including monitoring, logging, and alerting strategies.
Contribute to cloud-native adoption, including containerization, infrastructure-as-code, and auto-scaling architectures.
Influence technical direction by proposing innovative, pragmatic solutions and challenging the status quo.
Take accountability for delivering high-impact outcomes aligned with team and organizational goals.