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# Sr Software Engineer I - Java - International Card...

- **Company:** American Express Company
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $123,000.0 - $215,250.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Computing Security, Code Generation, Information Systems, Databases, Concurrent Computing, Continuous Integration, Couchbase Servers, Data Structures, Software Design Patterns, Distributed Data Store, Distributed Systems, Fault Tolerance, Github, Gradle, Java Virtual Machine (JVM), PostgreSQL, Apache Maven, Object-Oriented Software Development, OpenShift, Oracle (Applications), Performance Tuning, Systems Development Life Cycle, Reliability Engineering, Software Tools, Prometheus, Message Oriented Middleware, Secure Coding, SonarQube, Data Streaming, Workflow Management Systems, Working Model 2D, Enterprise Software Applications, Spring Cloud, GitHub Copilot, Large Language Models, Spring-boot, Vert.x, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Apache Kafka, Reactive Programming, Virtual Agents, Api Design, Api Gateway, Software Coding, Restful APIs, Terraform, Domain Driven Design, Splunk, Devsecops, Docker, Static Application Security Testing, Microservices, Dynamic Application Security Testing
- **Published:** June 14, 2026
- **Apply:** https://www.juju.com/job/00000000g7y02j

## About the Role

+ Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).

 + 8+ years of experience in enterprise software engineering and distributed systems development.

 + Strong expertise in modern Java development with Java 17/21+, including JVM performance optimization and concurrent programming.

 + Extensive experience building cloud-native microservices using:

 + Spring Boot / Spring Cloud

 + Reactive frameworks (Vert.x, WebFlux, Reactor)

 + Event-driven architectures

 + Deep understanding of Data structures, Algorithms, Object-oriented and domain-driven design

 + Hands-on experience with:

 + Kafka / event streaming platforms

 + RESTful APIs and asynchronous APIs

 + API gateways and service mesh concepts

 + Strong experience with containerization and orchestration:

 + Docker

 + Kubernetes / OpenShift

 + Strong CI/CD and DevSecOps experience using:

 + GitHub Actions

 + Maven / Gradle

 + GitOps workflows

 + SonarQube, SAST/DAST tooling

 + Experience with cloud platforms and distributed cloud engineering:

 + AWS / Azure / GCP

 + Infrastructure-as-Code (Terraform preferred)

 + Experience with modern databases and distributed data platforms:

 + PostgreSQL

 + Couchbase

 + Oracle

 + S3/Object Storage

 + Experience implementing observability and reliability engineering practices:

 + Prometheus

 + Grafana

 + OpenTelemetry

 + ELK/Splunk

 + Strong understanding of software design patterns, secure coding standards, and scalable architecture principles.

Preferred Qualifications

 + Experience designing enterprise-scale APIs and microservice ecosystems.

 + Experience with AI-assisted software development tools such as:

 + GitHub Copilot

 + OpenAI APIs

 + Semantic Kernel

 + MCP-based agent integrations

 + Understanding of Agentic AI systems and workflow orchestration frameworks.

 + Experience implementing intelligent SDLC automation including:

 + AI-generated test automation

 + Automated code remediation

 + AI-assisted root cause analysis

 + Autonomous deployment validation

## Description

+ Lead and mentor an agile engineering team building scalable, resilient, and secure cloud-native platforms.

 + Architect and develop high-performance microservices using modern Java frameworks and event-driven design principles.

 + Own end-to-end technical delivery including design, coding, testing, observability, deployment, and production support.

 + Spend 80%+ of time hands-on coding, reviewing code, driving quality engineering, and improving developer productivity.

 + Design and implement distributed systems using asynchronous messaging, streaming, and reactive programming paradigms.

 + Build and optimize CI/CD pipelines using GitHub Actions and modern DevSecOps tooling for rapid, secure, and automated releases.

 + Develop containerized workloads using Docker and deploy on Kubernetes/OpenShift-based platforms.

 + Improve platform scalability, resiliency, fault tolerance, and operational excellence through SRE and observability best practices.

 + Drive engineering modernization initiatives including API-first development, infrastructure-as-code, and automated testing strategies.

 + Implement intelligent automation across SDLC workflows using AI-assisted engineering tools, code generation, automated remediation, and agentic development workflows.

 + Contribute to business process automation initiatives leveraging AI agents, orchestration frameworks, and LLM-powered workflows

 + Continuously evaluate emerging technologies, frameworks, and AI capabilities to improve engineering Champion best practices around secure coding, system design, performance optimization, and operational readiness., 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.


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