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# Lead Software Engineer - Full Stack Java

- **Company:** JPMorgan Chase & Co.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Software Applications, Automation of Tests, Cloud Computing, Software Quality, Code Review, Continuous Integration, Command-Query Responsibility Segregation (Software Development), Serialization, Shard (Database Architecture), DevOps, Distributed Systems, Junit, MongoDB, Pattern Recognition, Performance Tuning, Role-Based Access Control, Reference Data, Software Tools, Secure Coding, Software Engineering, Software Systems, Strategies of Testing, TypeScript, Management of Software Versions, Openapi, ReactJS, Spring-boot, Indexer, Event Driven Architecture, Kubernetes, Playwright, Avro, Production Code, Apache Kafka, React Redux, Restful APIs, Stream Processing, Code Restructuring, Microservices
- **Published:** August 8, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27915692/Lead-Software-Engineer-Full-Stack-Java-Illinois-Chicago-7463

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Hands-on practical experience delivering system design, application development, testing, and operational stability
 * Building production microservices with Spring Boot and Java (21+), including Virtual Threads, Records, and Pattern Matching
 * Working with event-driven architectures using Apache Kafka (Producers, Consumers, Avro Serialization, Schema Registry)
 * Building production React SPAs with TypeScript (complex forms, data grids, role-based access control), including Redux Toolkit
 * MongoDB in production environments (aggregation pipelines, change streams, indexing, sharding, performance tuning)
 * Expertise in RESTful API Design (OpenAPI 3.0, SpringDoc, versioning) and microservices architecture (Event-Driven, CQRS, Saga Patterns)
 * Proficiency in testing frameworks including JUnit 5, Spring Boot Test, and Playwright
 * Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
 * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
 * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills:

 * Experience in financial services or reference data domains
 * Experience in DevOps model and Kubernetes, cloud auto scalable infrastructure

## Description

As a Lead Software Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications., * Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

 * Drive architectural decisions for distributed systems including event-driven pipelines, CQRS patterns, and real-time data streaming
 * Develops secure high-quality production code, and reviews and debugs code written by others
 * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
 * Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
 * Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
 * Adds to team culture of diversity, opportunity, inclusion, and respect
 * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysi
support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team


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