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JPMorgan Chase & Co.

AWS Lead Software Engineer-Java/Spring Boot

wilmington, DE

Check who can apply and the requirements below before continuing.

About this opportunity

JPMorgan Chase & Co. lists this AWS Lead Software Engineer-Java/Spring Boot opportunity in wilmington, Delaware. Review the employer’s description below for duties, qualifications and application requirements.

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 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.

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

#J-18808-Ljbffr

Worksite address

wilmington, DE, 19894, US

Who can apply

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