Full Stack Lead Software Engineer Java AWS

JPMorganChase•Wilmington, NC

About The Position

As a Full Stack Lead Software Engineer at JPMorgan Chase within Consumer and Community Banking's Auto Originations team, you will be an integral part of an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver critical technology solutions across technical areas and business functions in support of the firm's business objectives. The role involves designing, developing, troubleshooting, and operating software solutions; producing architecture and design artifacts for complex applications; and helping improve operational stability through automation. You will also lead technical evaluations and communities of practice, and promote effective, secure, and responsible use of enterprise-authorized AI-assisted engineering tools and practices.

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Strong Java development expertise, including Spring or Spring Boot, Hibernate, JMS, and RESTful API design and implementation.
Experience deploying and monitoring applications on AWS, including services such as S3, Lambda, security services, and IAM.
Hands-on experience delivering system design, application development, testing, and operational stability.
Strong background designing complex applications and documenting architecture artifacts such as diagrams, standards, and decision records.
Proficiency in automation and continuous delivery methods.
Proficiency across all aspects of the Software Development Life Cycle.
Demonstrated proficiency in software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.
Experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, and troubleshooting.
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, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
Experience coaching engineers on safe and compliant adoption of AI-assisted tools within delivery practices.

Nice To Haves

Proficiency with databases such as Aurora PostgreSQL.
Expertise using monitoring tools such as Splunk and Grafana, including creating dashboards and alerts.
AWS Developer or Architect certifications.

Responsibilities

Execute creative software solutions, including design, development, and technical troubleshooting, to build solutions and address technical problems.
Develop secure, high-quality production code and review and debug code written by others.
Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
Identify opportunities to eliminate or automate recurring remediation work to improve application and system stability.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit with existing systems and information architecture.
Lead Software Engineering communities of practice to promote awareness and use of new and leading-edge technologies.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
Apply knowledge of Software Development Life Cycle tools, including authorized AI-assisted development and automation, to improve the value realized by automation.

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