Lead Java Full-Stack Engineer - AI-Driven Cloud & Microservices

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

Job summary

JPMorgan Chase & Co. invites a Lead Software Engineer to join the Corporate Technology - Enterprise Technology team in Chicago.

You will be a core technical contributor, delivering secure, scalable software solutions across multiple domains and driving AI-enabled engineering practices. You’ll shape architecture, review code, mentor teams, and partner with vendors to push innovative technology while maintaining rigorous security and reliability standards.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience in the Software Development Life Cycle, including hands-on development experience.
• Hands-on experience in Java/J2EE, REST Services, Spring Boot.
• Strong experience writing complex SQL queries, joins, PL/SQL, functions, and stored procedures.
• Hands-on experience in public cloud – Kubernetes, AWS and extensive experience with ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, and Step Functions, as well as infrastructure automation using Terraform.
• Proficiency in designing and implementing RESTful APIs for enterprise-scale applications.
• Ability to design software systems using object-oriented principles and practices.
• Experience in building Decoupled Systems.
• Proficiency in using design patterns and technologies to decouple system components, enhancing flexibility and maintainability.
• Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.
• Knowledge of messaging platforms such as Apache Kafka.
• 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

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
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Adds to team culture of opportunity, inclusion, and respect
• Evolve and apply AI in software development and automation
• 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.
• 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<b>.</b>
• 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.<br/>

Skills

Java/J2EE

REST Services

Spring Boot

SQL/PLSQL

AWS

Kubernetes

RESTful APIs

AI-assisted development

JUnit Mockito

Kafka

Docker

Terraform

Tools

Terraform

Docker

Job description

JPMorgan Chase & Co. invites a Lead Software Engineer to join the Corporate Technology - Enterprise Technology team in Chicago.

You will be a core technical contributor, delivering secure, scalable software solutions across multiple domains and driving AI-enabled engineering practices. You’ll shape architecture, review code, mentor teams, and partner with vendors to push innovative technology while maintaining rigorous security and reliability standards.