Lead Software Engineer - Java Spring Boot

JPMorganChase; Chicago (IL); On-site; USD 138,000 - 185,000; Full time

Job summary

JPMorgan Chase in Chicago, IL seeks a Lead Software Engineer specializing in Java Spring Boot to drive secure, scalable solutions within Corporate Technology. You will be a core technical contributor, leading design, development, and code reviews in an agile environment.

The role emphasizes building trusted market-leading technology products with robust security and reliability. The position requires 5+ years of SDLC experience, expertise in Java, SQL, microservices, and modern UI frameworks,

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years hands-on SDLC experience.
• Experience with Java, SQL, UI frameworks, microservices, and RESTful APIs.
• SQL performance tuning, JDBC, and ORM (Hibernate/JPA).
• Strong knowledge of SQL/NoSQL datastores including Oracle, MongoDB.
• Experience leading AI-assisted development tools and secure coding practices.

Responsibilities

• Executes creative software solutions and architectural design with high quality production code.
• Reviews and debugs code written by others to ensure correctness and maintainability.
• Identifies opportunities to automate recurring remediation for stability and efficiency.
• Leads evaluation sessions with vendors and teams to assess architecture and applicability.
• Drives adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Promotes secure coding, automated testing, and standardized validation across the team.

Skills

Java

SQL

UI frameworks

Design patterns

Microservices

Cloud native architecture

Angular/React

RESTful APIs

CI/CD

Agile methodologies

JUnit/Mockito

Kafka

Education

Software engineering certification

Tools

Hibernate/JPA

JDBC

Oracle

MongoDB

Job description

Lead Software Engineer - Java Spring Boot

Chicago, IL, United States

Full time

Day

Base Pay/Salary: Chicago,IL $137,750.00-$185,000.00

Job Information

• Job Identification: 210794513
• Job Category: Software Engineering
• Business Unit: Corporate Sector
• Posting Date: 10/06/2026, 01:28 PM
• Locations: 10 S Dearborn St, Chicago, IL, 60603, US
• Job Schedule: Full time
• Job Shift: Day
• Base Pay/Salary: Chicago,IL $137,750.00-$185,000.00

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• 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
• 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
• 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 analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience
• Experience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIs for enterprise-scale applications.
• Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
• Strong experience in various SQL and NoSQL datastores including Oracle, MongoDB
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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; experience coaching engineers on safe, compliant adoption within delivery practices
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.
• Deep knowledge of messaging platforms such as Apache Kafka

Preferred qualifications, capabilities, and skills

• Familiarity with DevOps practices, containerization and orchestration
• Exposure to AI systems such as Copilot, Claude
• Exposure to AWS technology stack