Lead Software Engineer - Full Stack Java

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago is seeking a Lead Software Engineer within Corporate Technology to join an agile team delivering trusted market-leading technology products in a secure, scalable way.

You will drive architectural decisions for distributed systems and contribute to AI-assisted engineering practices. The role requires 5+ years in software engineering, hands-on design and production delivery, and strong experience with Spring Boot, Java, Kafka, React/TypeScript, and REST APIs.

Qualifications

• Formal training or certification in software engineering with 5+ years' applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Building production microservices with Spring Boot and Java (21+), including modern features.
• Experience with event-driven architectures using Apache Kafka, Avro, and Schema Registry.
• Building production React SPAs with TypeScript and Redux Toolkit.
• Expertise in RESTful API Design and microservices patterns.
• Proficiency in testing frameworks (JUnit 5, Spring Boot Test, Playwright).
• Experience with AI-assisted software development tools and secure coding practices.

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

Skills

Spring Boot & Java

Event-driven architecture

React & TypeScript

Kubernetes

AI-assisted development tools

CI/CD & Security

Agile methodologies

Tools

Apache Kafka

Spring Boot

TypeScript

React

Redux Toolkit

Playwright

JUnit 5

MongoDB

OpenAPI 3.0

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