Sr Software Engineer I

American Express•Atlanta, GA

About The Position

The Senior Software Engineer I will work within American Express’s Enterprise Architecture organization in the Chief Technology Office. Enterprise Architecture enables the company’s technology strategy through four pillars: Architecture as Code, which 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 supports colleague development, recognition, training, and enterprise outreach. The role designs, develops, and delivers enterprise-grade software across the full stack, using Java and Python. It leads the implementation of distributed systems and owns features through design, development, deployment, monitoring, and production support. The engineer provides technical leadership within an Agile team, mentors junior engineers, collaborates with architects and product and cross-functional teams, and contributes to scalable APIs, microservices, event-driven systems, cloud-native adoption, and engineering excellence.

Requirements

At least 6 years of professional software development experience.
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.
Full-stack development experience, 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.

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.
Bachelor’s degree in computer science, engineering, or equivalent practical experience; an advanced degree is a plus.

Responsibilities

Design, develop, and deliver scalable, high-quality full-stack software solutions using Java and Python.
Lead the architecture and implementation of distributed systems, ensuring performance, reliability, and maintainability.
Own end-to-end feature delivery, including design, development, deployment, monitoring, and production support.
Act as a senior member of an Agile team and promote 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 long-term fixes.
Design 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 and propose innovative, pragmatic solutions.
Take accountability for delivering high-impact outcomes aligned with team and organizational goals.