Senior Lead Software Engineer, Java Architect

JPMorgan Chase

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: Palo Alto, CA
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$108k $233k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,500–$185,500.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Java Architect

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As a Software Engineer III within the Commercial and Investment Bank - Payments Technology team, you will design and deliver trusted, market-leading technology products. You will build high-volume, event-driven microservices and RESTful APIs to process payments for global clients across multiple clearing systems. Your daily responsibilities include developing Java and Spring Boot services, managing Kafka and MQ-based event flows, and ensuring system resiliency through idempotent message processing. You will utilize tools like Docker, Kubernetes, Maven, Jenkins, JUnit, and Mockito while leveraging enterprise-authorized AI coding assistants. Key technical requirements include experience with relational databases like Oracle, NoSQL stores, and CI/CD pipelines. You will solve complex business problems involving payment validations, routing, and exception handling while maintaining production stability in a secure, scalable environment.

Skills

Java Spring Boot Microservices Kafka IBM MQ RESTful APIs Kubernetes Docker CI/CD SQL Oracle NoSQL Python JUnit Mockito Maven Jenkins gRPC Protobuf Grafana OpenTelemetry JavaScript HTML/CSS

What you'll do

Design, develop, and maintain Java/Spring Boot microservices and RESTful APIs for global payment processing.
Build high-volume, event-driven flows using Kafka and MQ-based messaging systems.
Translate business requirements into technical solutions for validations, routing, and exception handling.
Create secure production code featuring stateful workflows and idempotent message processing.
Write automated unit, integration, and end-to-end tests while maintaining CI/CD pipelines.
Produce architecture artifacts and ensure software code meets specific design constraints.
Troubleshoot and monitor payment flows in containerized, Kubernetes-based production environments.
Utilize AI coding tools to generate, refactor, and document code while validating outputs for security.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on experience in system design, application development, testing, and operational stability.
Hands-on programming experience with Java, Spring Boot, and microservices architecture.
Experience designing RESTful APIs, including security, authentication, authorization, and documentation.
Experience with event-driven messaging platforms such as Kafka or IBM MQ.
Experience with relational databases (e.g., Oracle) and NoSQL data stores, including SQL and schema change management.
Experience with automated testing (TDD, JUnit, Mockito, BDD/Cucumber) and CI/CD pipelines (e.g., Maven, Jenkins).
Experience deploying and operating services using Docker and Kubernetes.
Experience using enterprise-authorized AI-assisted software development tools to generate, validate, and refine code and documentation.
Understanding of responsible AI use, agile practices, application resiliency, and security.
Exposure to payments or financial services technology (preferred).
Experience with event sourcing, state machine–based workflows, or high-throughput transaction processing (preferred).
Experience with gRPC and Protobuf (preferred).
Experience with Python for automation, internal tooling, or data analysis (preferred).
Experience with observability tooling (e.g., OpenTelemetry, Grafana) (preferred).
Familiarity with modern front-end technologies (e.g., JavaScript, HTML/CSS) (preferred).