Lead Software Engineer - Java, React, AWS and AI

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

Job summary

JPMorganChase in Columbus seeks a Lead Software Engineer to join Corporate Technology - Enterprise Technology. You will be a core technical contributor, delivering secure, scalable tech across multiple domains and guiding AI-assisted engineering practices.

The role emphasizes building trusted systems, leading design reviews, mentoring teams, and advancing innovative AI-enabled development within established security standards.

Qualifications

• Formal training or certification on software engineering concepts plus 5+ years of experience.
• Hands-on Java/J2EE, REST Services, Spring Boot.
• Strong SQL (joins, PL/SQL, functions, stored procedures) experience.
• Public cloud experience: Kubernetes, AWS; Terraform for automation.
• REST API design for enterprise-scale apps and OO design principles.
• Experience with AI-assisted development tools and responsible AI use.

Responsibilities

• Executes creative software solutions and complex problem solving.
• Develops secure production code and performs reviews.
• Automates remediation and improves operational stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Drives communities of practice and AI-assisted engineering adoption.

Skills

Java/J2EE

REST Services

Spring Boot

SQL/PLSQL

AWS

Kubernetes

Terraform

Hibernate/JPA

JUnit/Mockito

Kafka

AI-assisted Dev Tools

API Design

Object-Oriented Design

DevOps / Containerization

Tools

Kubernetes

AWS

Terraform

Docker

Hibernate/JPA

JUnit

Mockito

Kafka

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 , you are 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 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, 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