This listing doesn't post a salary. Most similar roles pay
$184,937–$213,000.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Lead Software Engineer - Java Full Stack Engineering within the Corporate Technology - Enterprise Technology team, you will serve as a core technical contributor in an agile environment. You will design, develop, and troubleshoot high-quality production code while leading evaluation sessions with vendors and internal teams to assess architectural designs. Your daily work involves building secure, scalable systems, automating recurring issues, and leading communities of practice to promote cutting-edge technologies. You will specifically drive the adoption of enterprise-authorized AI-assisted engineering practices for code review, refactoring, and test acceleration. The role requires expertise in Java/J2EE, Spring Boot, REST Services, SQL, and PL/SQL. Technical requirements include experience with Kubernetes, AWS services like ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, and Step Functions, alongside infrastructure automation using Terraform, Apache Kafka, JUnit, Mockito, and front-end tools like React JS.
Hands-on experience in public cloud (Kubernetes, AWS) with specific tools like ECS, S3, RDS, Lambda, CloudWatch, Eventbridge, Step Functions, and Terraform.
Proficiency in designing and implementing RESTful APIs using object-oriented principles and design patterns for decoupled systems.
Proficiency in unit testing frameworks such as JUnit and Mockito, and knowledge of messaging platforms like Apache Kafka.
Demonstrated experience leading the use of approved AI-assisted software development tools and understanding responsible AI usage in engineering workflows.
Familiarity with React JS, JavaScript, TypeScript (preferred).
Experience with SQL performance tuning, JDBC, and ORM frameworks like Hibernate/JPA (preferred).
Familiarity with DevOps practices, containerization, and orchestration (preferred).
Exposure to AI systems such as Copilot or Claude (preferred).