at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Java AWS AI Lead Software Engineer** at JPMorgan Chase in Columbus, OH. Drive market-leading tech products, leveraging AWS (EC2, Lambda, KMS, ECS, EKS, S3) and Java/Spring Boot for microservices. Lead team adoption of AI-assisted engineering practices, enhancing code quality and delivery speed. hands-on experience in AWS, Java, Spring Boot, Terraform, and CloudFormation. Leverage Agile methodologies, CI/CD, and application resiliency, with team leadership experience. Champions secure, stable, scalable software solutions across business functions.
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Full Job Description
Location: Columbus, OH, United States
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Connected Commerce Payments 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 firms business objectives.
Job responsibilities
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Connected Commerce Payments 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 firms 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 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
- Codes in Java, Spring Boot, Microservices and AWS (AWS (AWS EC2, AWS Lambda, AWS KMS, AWS ECS, AWS EKS, AWS S3, EMR, Athena, SQS, EventBridge, PostgresSQL)
- Utilizes Cloud Infrastructure Provisioning Tools like Terraform & Cloud Formation
- Strong experience in Agile methodologies, CI/CD, application Resiliency and security
- Lead varying levels of Software Engineers
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 in one or more programming language(s)
- 8+ years strong experience in coding Java, Spring Boot, Microservices and AWS
- Hands on experience in AWS EC2, AWS Lambda, AWS KMS, AWS ECS, AWS EKS, AWS S3, EMR, Athena, SQS, EventBridge, PostgresSQL
- Hands on experience with Cloud provisioning tools such as Terraform and Cloud formation
- 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
- Leadership and mentoring experience
Preferred qualifications, capabilities, and skills
- Experience working on a large Financial payments technology application
- Experience utilizing AI in developing secure applications
- AWS certified
