Lead Software Engineer - Java Backend Engineer

JPMorgan Chase; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Lead Software Engineer to join the Consumer and Community Banking’s Business Payment team. You will be a core technical contributor driving secure, scalable solutions across multiple business functions, with a focus on enterprise AI-assisted development practices.

You will lead design, development, and debugging of production code, review peers’ work, and advance automation and testing within an agile environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Java, SpringBoot, fundamentals in DB with deep understanding of building cloud native applications and Experience in AWS services.
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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.
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• 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

Skills

Java

Spring Boot

AWS

CI/CD

AI-assisted development

Secure coding

Agile methodologies

Cloud native

Team leadership

Financial services IT

Tools

SDLC tools

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 Consumer and Community Banking's Business Payment 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 breakdown technical problems


• Develops secure and high-quality production code, and reviews and debugs code written by others


• 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.


• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience


• Hands-on practical experience delivering system design, application development, testing, and operational stability


• Advanced in Java, SpringBoot, fundamentals in DB with deep understanding of building cloud native applications and Experience in AWS services.


• 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


• Proficient in all aspects of the Software Development Life Cycle


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• In-depth knowledge of the financial services industry and their IT systems


• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Full stack technology professional leverage AWS services, including ECS, EKS, and Lambda, to design, deploy, and manage scalable and efficient cloud-based applications within the software development lifecycle


• Proven record of leveraging AI powered solutions and frameworks to deliver business outcomes


• Expertize in API driven, Event driven development