Live opening · Posted 7 hours ago

Sr Software Engineer I - Enterprise Architecture

American Express · Phoenix, AZ, United States
Oracle Hybrid
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyAmerican Express
LocationPhoenix, AZ, United States
Work modeHybrid
SkillsPython, React, Java, Spring Boot, Angular, AWS, Azure
SourceOracle
ListedPosted 7 hours ago

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About the role

Description supplied by the original job listing.

About Enterprise Architecture:
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:
Architecture as Code: this pillar owns and operates foundational technologies that are leveraged by engineering teams across the enterprise.
Architecture as Design: this pillar includes the solution and technical design for transformation programs and business critical projects which need architectural guidance and support.
Governance: this pillar is responsible for defining technical standards, and developing innovative tools that automate controls to ensure compliance.
Colleague Enablement: this pillar is focused on colleague development, recognition, training, and enterprise outreach.
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
Proven experience in full-stack development, including backend services and modern frontend frameworks (e.g., React, Angular, or similar)
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 (PostgreSQL, MySQL, Oracle) and/or NoSQL databases (Cassandra, DynamoDB, MongoDB)
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with infrastructure-as-code tools (Terraform, CloudFormation, etc.)
Experience with messaging and streaming platforms such as Kafka, RabbitMQ, or JMS
Practical experience with cloud platforms (AWS, Azure, or GCP) and cloud-native development patterns
Hands-on experience in test data generation and unit test development and execution
Preferred: 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 (Jenkins, GitHub Actions, GitLab CI, etc.)
Proficiency in Agile/Scrum methodologies and modern software development lifecycle practices
Bachelor’s degree in computer science, Engineering, or equivalent practical experience (advanced degree is a plus)
Design, develop, and deliver scalable, high-quality software solutions across the full stack, leveraging 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 delivery of features—from design and development to deployment, monitoring, and support in production environments
Act as a senior member of an Agile team, driving best practices in coding standards, testing, documentation, and continuous delivery
Mentor and guide junior engineers, providing technical leadership through code reviews, design discussions, and knowledge sharing
Collaborate closely 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, ensuring strong service contracts and backward compatibility
Champion engineering excellence by improving CI/CD pipelines, test automation, and developer productivity
Proactively identify system bottlenecks, debug complex issues, and drive root-cause analysis with long-term 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 and challenge the status quo by proposing innovative, pragmatic solutions
Take ownership and accountability for delivering high-impact outcom

Work arrangement
Hybrid

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