AWS Lead Software Engineer-Java/Spring Boot

JPMorgan Chase & Co.•Wilmington, DE

16h

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As an AWS Lead Software Engineer-Java/Spring Boot 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.

Requirements

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

Nice To Haves

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

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.