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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Java FS with React, AI

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As a Senior Lead Software Engineer at JPMorganChase in the Infrastructure Platform team, you will lead an agile group focused on developing secure, stable, and scalable technology solutions. Your daily responsibilities include designing and implementing RESTful APIs using Java 11+, Spring Boot, and Hibernate/JPA, while also contributing to front-end development with React. You will work with cloud platforms like AWS or Azure, containerization tools such as Docker and Kubernetes, and leverage AI-assisted coding tools for efficient code generation and validation. Additionally, you will craft effective prompts for Large Language Models (LLMs) to enhance productivity and automate tasks, all while balancing technical execution with leadership duties to deliver complex projects successfully.

Skills

Java Spring Boot Hibernate/JPA React PostgreSQL AWS Azure GCP Docker Kubernetes GitHub Copilot AI-assisted coding Prompt engineering Large Language Models CI/CD

What you'll do

Lead full-stack Java development for secure, scalable technology products.
Design and implement RESTful APIs using Spring Boot and Hibernate/JPA.
Develop front-end applications with React and integrate relational databases.
Evaluate AI-generated code for quality, security, and performance.
Craft effective prompts for LLMs to generate accurate and efficient code.

What we're looking for

10+ years of Java full-stack development experience including 3+ years in technical leadership.
Expert proficiency in RESTful API design, Spring Boot, Hibernate/JPA, React, and relational databases.
Experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes.
Proficiency in AI-assisted coding using GitHub Copilot or similar tools, evaluating AI-generated code for quality and security.
Strong prompt engineering skills for Large Language Models to generate accurate and secure code.