Lead Software Engineer - Java Backend Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a seasoned software engineer to design, build, and deliver secure, scalable applications.

You will apply AI-assisted development practices, CI/CD, and cloud-native architectures across the SDLC, collaborating with cross-functional teams to improve reliability and performance. Leverage 5+ years of hands-on experience in Java, Spring Boot, and AWS to drive secure coding, code reviews, and operational stability while mentoring engineers in responsible AI

Qualifications

• Minimum 5+ years of hands-on software engineering experience.
• Experience delivering system design, application development, testing, and operational stability.
• Advanced in Java, Spring Boot, AWS, and cloud-native applications.
• Experience leading the use of AI-assisted software development tools with validation of outputs.

Responsibilities

• Executes creative software solutions and troubleshooting, thinking beyond routine approaches.
• Develops secure, high-quality production code and reviews others' code.
• Drives enterprise AI-assisted engineering practices to improve quality, speed, and outcomes with validated standards.
• Applies SDLC tools, including AI-assisted development, to improve automation value.
• Identifies opportunities to automate recurring issues for stability.
• Leads evaluation sessions with vendors and teams to assess architecture and fit within existing systems.

Skills

Java

Spring Boot

AWS

Cloud-native

AI-assisted development

Secure coding

CI/CD

Agile

Financial services

Leadership

Education

Formal software engineering training/certification

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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 inJava,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
• Expertizein API driven, Event driven development