Senior Java Architect - Scalable Payments Microservices Lead

JPMorgan Chase

Palo Alto (CA)

On-site

USD 140,000 - 210,000

Full time

5 days ago

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Job summary

JPMorgan Chase is seeking a Software Engineer III to lead design and delivery of payments technology across global clients. You will build high-volume, event-driven microservices and secure RESTful APIs using Java/Spring Boot in a Kubernetes-based environment.

You will collaborate with product owners, analysts, and operations to translate business requirements into scalable solutions, and contribute to CI/CD pipelines while ensuring security and reliability in production.

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Hands-on experience delivering system design, development, testing, and operational stability.
Hands-on programming experience with Java, Spring Boot, and microservices architecture.
Experience designing and building RESTful APIs, including API security, authentication/authorization, and API documentation.
Experience with event-driven and messaging platforms such as Kafka or IBM MQ.
Experience with automated testing (TDD, JUnit, Mockito, BDD/Cucumber) and CI/CD pipelines (Maven, Jenkins).
Experience deploying and operating services using Docker and Kubernetes.
Hands-on experience using enterprise-authorized AI-assisted software development tools with validation for correctness, performance, and security.
Understanding of responsible AI use, data sensitivity, and secure handling in engineering workflows.
Solid understanding of agile practices, application resiliency, and security.

Responsibilities

Executes software solutions, design, development, and troubleshooting with ability to handle non-routine problems.
Partners with product owners to translate payment requirements into robust technical solutions.
Designs, develops, and maintains Java/Spring Boot microservices and RESTful APIs that process payments.
Creates secure production code with stateful workflows and resilient integrations.
Writes automated tests and contributes to CI/CD pipelines with quality gates.
Produces architecture and design artifacts ensuring design constraints are met.
Supports production stability through monitoring, troubleshooting, and root-cause analysis in Kubernetes environments.
Leverages AI coding assist tools to improve quality and speed, with peer review and secure coding standards.
Analyzes production telemetry to drive improvements in code hygiene and system architecture.