Lead Software Engineer - Java/AWS

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ seeks a Lead Software Engineer to join the Connected Commerce technology offers and shopping team.

You will design and deliver trusted, secure, and scalable software products as a senior member of an agile team. Responsibilities include enterprise application design, reviewing requirements and architecture with stakeholders, coding, unit testing, and driving adoption of AI-assisted engineering practices to improve quality and delivery speed.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing web-based applications using J2EE technology.
• Experience using Spring framework for building enterprise java applications.
• Experience in developing Rest APIs.
• Experience in using Oracle, Cassandra databases.
• Experience using BlazeMeter, Splunk, Dynatrace
• Experience in manual testing using Postman/SoapUI.
• Experience using Swagger tool to create the API specifications.
• Experience in using Agile Scrum methodology for tracking the team work.
• 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

Responsibilities

• Design and develop enterprise software applications.
• Review business requirements, architecture and design with stakeholders.
• Engage in coding, pair programming and code reviews.
• Write unit tests and software automation.
• Promote AI-assisted engineering practices to improve code quality and delivery speed while ensuring secure coding, peer review, and automated testing standards.
• Leverage SDLC tools and AI-assisted development for automation value.
• Support Integration, UAT, and Performance testing.
• Release software on UAT and production; participate in production support and monitoring.

Skills

Software architecture

Web development

J2EE

Spring framework

REST APIs

AI-assisted development

Pair programming

Unit testing

CI/CD

Code reviews

Tools

J2EE

Spring

REST

Swagger

Postman/SoapUI

BlazeMeter

Splunk

Dynatrace

Oracle

Cassandra

Kafka

AWS

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 a Lead Software Engineer at JPMorgan Chase within the Connected Commerce technology offers and shopping team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Responsible for design and development of enterprise software applications.
• Works with different stakeholders to review business requirements, architecture and design.
• Involves in coding, pair programming and code reviews.
• Writes unit tests and software automation.
• 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.
• Supports Integration, UAT, and Performance testing.
• Releases software on UAT and production; Participate in production support and application monitoring.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing web-based applications using J2EE technology.
• Experience using Spring framework for building enterprise java applications.
• Experience in developing Rest APIs.
• Experience in using Oracle, Cassandra databases.
• Experience using BlazeMeter, Splunk, Dynatrace
• Experience in manual testing using Postman/SoapUI.
• Experience using Swagger tool to create the API specifications.
• Experience in using Agile Scrum methodology for tracking the team work.
• 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

• Exposure to AWS cloud technologies
• Experience in using Kafka for data streaming.
• AWS or Cloud certifications
• Experience in Temporal Durable Execution technology
• Experience writing automation tests using Cucumber framework
• Cloud Foundry experience for developing and managing the web application.
• Understands best practices for CI/CD, Applicant Resiliency, and Security