Lead Software Engineer - Java, React, AWS and AI

JP Morgan Chase; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase seeks a Lead Software Engineer within Corporate Technology - Enterprise Technology to drive secure, scalable software solutions across multiple business functions. You will be a core technical contributor, building trusted market-leading technology products and leading AI-assisted development practices.

The role emphasizes architectural leadership, collaboration across teams, and delivering high-quality production code while advancing responsible AI use and secure coding standards.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of applied experience in software development.
• Experience with Java/J2EE, REST Services, and Spring Boot.
• Strong SQL and data management capabilities.
• Public cloud experience with Kubernetes and AWS; exposure to ECS, S3, RDS, Lambda.
• Designing RESTful APIs for enterprise-scale applications.
• Knowledge of AI-assisted development tools and safe adoption practices.

Responsibilities

• Executes creative software solutions and technical troubleshooting.
• Develops secure production code; reviews and debugs code.
• Identifies optimization opportunities to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice to promote new technologies.
• Fosters diversity, inclusion, and team culture.
• Evolves and applies AI in software development and automation.
• Drives adoption of AI-assisted engineering practices with validated standards.

Skills

Java/J2EE, REST Services, Spring Boot

RESTful APIs design

OO design principles

Decoupled systems

JUnit

Mockito

Apache Kafka

AI-assisted software development tools

AI-assisted engineering practices

Security and compliance awareness

Cloud technologies

React JS, JavaScript, TypeScript

Education

Software engineering certification or formal training

5+ years applied experience

Tools

Kubernetes

AWS

ECS

S3

RDS

Lambda

CloudWatch

EventBridge

Terraform

JUnit

Mockito

Apache Kafka

Copilot

Claude

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