Sr Software Engineer II - Enterprise Architecture
Role details
Job location
Tech stack
Job description
Enterprise Architecture is an organization within the Chief Technology Office at American Express and it is a key enabler of the company's technology strategy. The four pillars of Enterprise Architecture include:
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Architecture as Code : this pillar owns and operates foundational technologies that are leveraged by engineering teams across the enterprise.
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Architecture as Design : this pillar includes the solution and technical design for transformation programs and business critical projects which need architectural guidance and support.
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Governance : this pillar is responsible for defining technical standards, and developing innovative tools that automate controls to ensure compliance.
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Colleague Enablement: this pillar is focused on colleague development, recognition, training, and enterprise outreach.
Responsibilities
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Design, develop, and deliver scalable, high-quality software solutions across the full stack, leveraging Java and Python for enterprise-grade platforms and services
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Lead the architecture and implementation of distributed systems, ensuring performance, reliability, and maintainability
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Own end-to-end delivery of features-from design and development to deployment, monitoring, and support in production environments
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Act as a senior member of an Agile team, driving best practices in coding standards, testing, documentation, and continuous delivery
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Mentor and guide junior engineers, providing technical leadership through code reviews, design discussions, and knowledge sharing
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Collaborate closely with architects, product managers, and cross-functional teams to translate business requirements into scalable technical solutions
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Build and evolve RESTful APIs, microservices, and event-driven systems, ensuring strong service contracts and backward compatibility
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Champion engineering excellence by improving CI/CD pipelines, test automation, and developer productivity
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Proactively identify system bottlenecks, debug complex issues, and drive root-cause analysis with long-term fixes
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Design systems for scalability, resilience, and observability, including monitoring, logging, and alerting strategies
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Contribute to cloud-native adoption, including containerization, infrastructure-as-code, and auto-scaling architectures
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Influence technical direction and challenge the status quo by proposing innovative, pragmatic solutions, 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.
Requirements
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6+ years of professional software development experience with strong expertise in Java and working knowledge of Python for backend or data-driven applications
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Deep experience with Java ecosystems and frameworks such as Spring, Spring Boot, or equivalent
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Proven experience in full-stack development, including backend services and modern frontend frameworks (e.g., React, Angular, or similar)
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Strong experience building RESTful APIs, microservices architectures, and service-to-service integrations
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Solid understanding of distributed systems, concurrency, scalability, and performance optimization
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Hands-on experience with relational databases (PostgreSQL, MySQL, Oracle) and/or NoSQL databases (Cassandra, DynamoDB, MongoDB)
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Experience with containerization and orchestration (Docker, Kubernetes)
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Familiarity with infrastructure-as-code tools (Terraform, CloudFormation, etc.)
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Experience with messaging and streaming platforms such as Kafka, RabbitMQ, or JMS
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Practical experience with cloud platforms (AWS, Azure, or GCP) and cloud-native development patterns
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Hands-on experience in test data generation and unit test development and execution
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Preferred: Basic understanding of AI/ML concepts and Generative AI technologies, including LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG)
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Experience with API design standards, OpenAPI/Swagger, versioning, and contract-driven development
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Hands-on experience with CI/CD pipelines and tools (Jenkins, GitHub Actions, GitLab CI, etc.)
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Proficiency in Agile/Scrum methodologies and modern software development lifecycle practices
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Bachelor's degree in computer science, Engineering, or equivalent practical experience (advanced degree is a plus)