AWS Lead Software Engineer-Backend Java/Spring Boot

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Wilmington, Delaware, seeks an AWS Lead Software Engineer-Backend (Java/Spring Boot) to join the Digital Connected Banking team.

You will be a core technical contributor delivering trusted, scalable technology products in a secure, stable environment. As a lead, you will design, develop, and review production Java/Spring Boot code, advancing AI-assisted engineering practices while ensuring operational stability and security across the SDLC.

Qualifications

• 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.
• Strong knowledge of Java, J2EE, Spring/Spring Boot, React JS or Angular.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting across complex problems.
• Develops secure, high-quality production code and reviews code written by others.
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.

Skills

Java

Spring Boot

AWS

Kafka

Relational/NoSQL databases

Monitoring (Splunk Grafana)

Security in SDLC

AI-assisted development

SDLC tooling

Education

Software engineering certification

Tools

AWS (ECS/EKS/S3/SQS/Lambda)

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 AWS Lead Software Engineer-Backend Java/Spring Boot at JPMorgan Chase within Consumer and Community Banking's Digital Connected Banking 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 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

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) such as Java, J2EE, Spring/Spring boot, React JS or Angular
• AWS services, including ECS, EKS, S3, SQS, Lambda, Event Bridge, SNS, auto scaling, load balancing, storage, backup, networking and related cloud concepts.
• Prior hands on experience with distributed streaming platform like Kafka
• Database experience with relational database like Oracle, or non-relational like Cassandra or other NoSQL
• Hands-on expertise in using monitoring tools like Splunk, Grafana and creating dashboards and alerts using these tools.
• Previous expertise with integrating security measures within the software development lifecycle, including threat modeling, vulnerability assessment, and implementing best practices to safeguard applications against potential security threats and breaches.
• 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

Preferred qualifications, capabilities, and skills

• Previous experience in financial services industry
• Previous experience in modern front end technologies