Lead Software Engineer - Full Stack Java

Lead Software Engineer - Full Stack Java

Chicago, IL, United States

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Job Information

Job Identification

210743495

Job Category

Software Engineering

Business Unit

Corporate Sector

Posting Date

08/07/2026, 01:57 PM

Locations

10 S Dearborn St, Chicago, IL, 60603, US

Job Schedule

Full time

Job Shift

Day

Base Pay/Salary

Chicago,IL $133,000.00-$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 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.

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.

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 analysis

support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team

Required qualifications, capabilities, and skills:

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

• Formal training/certification in software engineering with 5+ years experience in system design, development, testing, and operational stability.
• Proficient in building production microservices using Spring Boot, Java 21+, Apache Kafka, React with TypeScript, MongoDB, and RESTful API design.
• Experience leading AI-assisted software development tools adoption and strong understanding of agile methodologies including CI/CD and security.