Lead Software Engineer -Full stack, Java, AI, and React

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

Job summary

JPMorganChase in Chicago is seeking a Lead Software Engineer to drive full-stack development across Java, AI, and React within an agile team. You will design, implement, and scale trusted technology products in a secure, resilient environment.

You will be a core technical contributor guiding APIs, microservices and cloud-native architectures, while mentoring engineers and improving code quality and delivery speed with AI-assisted practices.

Qualifications

• 8+ years of hands-on software development experience.
• Deep expertise in Java/JVM and Spring Boot.
• Proven experience building robust APIs and microservices Architectures.
• Strong proficiency in AWS cloud services and Kubernetes for container orchestration.
• Hands-on experience with Kafka for distributed messaging and event-driven architectures.
• Advanced skills in PostgreSQL and database optimization.
• Demonstrated ability in performance tuning and troubleshooting complex systems.
• Experience in real-time data processing.
• Proven experience with React JS and modern front-end development practices.
• Demonstrated experience leading effective use of AI-assisted software development tools with validation standards.
• Strong hands experience with responsible AI in engineering workflows.

Responsibilities

• Executes creative software solutions, design, development, and debugging with ability to think beyond routine approaches.
• Develops secure high-quality production code and reviews code written by others.
• Identifies opportunities to automate remediation and improve operational stability.
• Leads evaluation sessions with external vendors and internal teams on architecture and applicability.
• Leads communities of practice to promote new technologies across Software Engineering.
• Drives team adoption of enterprise-approved AI-assisted engineering practices.
• Applies SDLC tooling knowledge to improve automation and value.
• Contributes to team culture of diversity and inclusion.

Skills

Java/JVM

Spring Boot

APIs & microservices

React JS

Real-time data processing

Agile

CI/CD

AI-assisted dev tools

Code review

Mentoring team

Education

Formal training or certification in software engineering concepts

Tools

AWS

Kubernetes

Kafka

PostgreSQL

CI/CD tooling

React tooling

Job description

Lead Software Engineer -Full stack, Java, AI, and React

Chicago, IL, United States

Job Information

Job Identification

210796355

Job Category

Software Engineering

Business Unit

Commercial & Investment Bank

Posting Date

10/30/2026, 02:24 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 JPMorganChase within the Consumer & Community Bank - ATM Channel team, 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• 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.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 8+ years of hands-on experience in software development.
• Deep expertise in Java/JVM ecosystem, Spring Boot framework.
• Proven experience building robust APIs and microservices architectures.
• Strong proficiency in AWS cloud services and Kubernetes for container orchestration.
• Hands-on experience with Kafka for architecting and building distributed messaging and event-driven architectures.
• Advanced skills in PostgreSQL and database optimization.
• Demonstrated ability in performance tuning and troubleshooting complex systems.
• Experience in real-time data processing.
• Proven experience with React JS and modern front-end development practices.
• 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 hands experience with 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
• Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automation, and application resiliency with experience working in Agile teams and partnering with product and engineering stakeholders.

Preferred qualifications, capabilities, and skills

• Financial Services experience