Full Stack Lead Software Engineer Java AWS

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Wilmington, Delaware seeks a Full Stack Lead Software Engineer with Java and AWS to guide the delivery of secure, scalable financial technology in the Auto Originations team within Consumer and Community Banking.

You will contribute as a core technical member, shaping architecture, and driving best practices across capabilities. You will lead architecture discussions, mentor engineers, and advance AI-assisted engineering while ensuring robust security and reliability in

Qualifications

• 5+ years of applied software engineering experience.
• Strong Java development with Spring/Spring Boot, Hibernate, JMS, and RESTful APIs.
• Experience deploying and monitoring applications on AWS (S3, Lambda, IAM, Security).
• Hands-on in system design, development, testing, and operational stability.
• Ability to document architecture artifacts (diagrams, standards, decision records).
• Proficiency in automation and continuous delivery methods.
• Full SDLC proficiency across projects and teams.
• Experience using AI-assisted software development tools with focus on correctness, performance and security.
• Knowledge of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Executes creative software solutions and debugging with novel approaches.
• Develops secure production code and reviews peers' code.
• Produces architecture and design artifacts for complex apps and ensures constraints are met.
• Identifies opportunities to automate remediation and improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture suitability.
• Drives communities of practice in software engineering and adoption of new technologies.
• Promotes enterprise AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools including AI-assisted development and automation.
• Delivers software solutions with a focus on scalable and secure outcomes.

Skills

Java development

Spring Boot

Hibernate

JMS

REST APIs

AWS cloud

Automation & CI/CD

SDLC

AI-assisted tooling

Secure coding

Education

Formal training or certification in software engineering

Tools

Aurora PostgreSQL

Splunk

Grafana

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 an Full Stack Lead Software Engineer Java AWS at JPMorgan Chase within Consumer and Community Banking's Auto Originations 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
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• 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
• 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
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems 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
• Strong Java development expertise, including technologies such as Spring/Spring Boot, Hibernate, JMS, and RESTful API design and implementation.
• Experience deploying and monitoring applications on AWS Cloud including services such as S3, Lambdas, Security, and IAM
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Strong background in designing complex applications and documenting architecture artifacts (e.g., diagrams, standards, decision records)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• 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

• Proficiency in databases like Aurora PostgreSQL
• Expertise in using monitoring tools like Splunk, Grafana and creating dashboards and alerts
• AWS Developer or Architect Certifications