Lead Software Engineer - Java, React, AWS and AI

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Columbus, OH, to contribute as a core technical member of Corporate Technology. You will design, implement, and deploy trusted market-leading software in a secure, scalable way, while advancing AI-assisted development practices across the team.

You will mentor engineers, collaborate across functions, and drive architectures that emphasize reliability, security, and performance at scale.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience in Java/J2EE, REST Services, Spring Boot.
• Strong experience writing complex SQL queries and PL/SQL.
• Public cloud experience with Kubernetes and AWS; extensive ECS, S3, RDS, Lambda, CloudWatch, EventBridge, Step Functions; Terraform for infra automation.
• Proficiency in designing RESTful APIs for enterprise-scale apps.

Responsibilities

• Executes creative software solutions and develops high-quality production code.
• Reviews and debugs code and improves operational stability.
• Leads evaluation sessions with vendors and internal teams on architectural designs.
• Drives adoption of AI-assisted engineering practices within the team.
• Sets validation standards for secure coding, peer review, and automated testing.

Skills

Java/J2EE

REST Services

Spring Boot

Kubernetes

AWS

ECS

S3

RDS

Lambda

CloudWatch

EventBridge

Terraform

RESTful APIs

JUnit

Mockito

Apache Kafka

AI-assisted tools

secure coding

design patterns

OO design

Tools

Hibernate/JPA

JDBC

TypeScript

React JS

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 JPMorganChase within the Corporate Technology - Enterprise Technology team, youare 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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
• 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
• 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.
• 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.
  

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied 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 withECS, 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, as well as proficiency in using design patterns and technologies to decouple system components, enhancing flexibility and maintainability.
• Ability to design software systems using object-oriented principles and practices.
• Experience in building Decoupled Systems.
• 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

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies like React JS, JavaScript, typescript
• Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
• Familiarity with DevOps practices, containerization and orchestration
• Exposure to AI systems such as Copilot, Claude