Full Stack Lead Software Engineer

JPMorganChase•Jersey City, NJ

About The Position

As a Lead Software Engineer at JPMorganChase, you will be an integral part of an agile team enhancing, building, and delivering trusted technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives. The role focuses on end-to-end cloud-native, microservices-based solutions; domain modeling; production-quality software; and scalable, secure, and reliable architecture. You will lead adoption of enterprise-authorized AI-assisted engineering practices, establish standards for validating AI outputs, and promote reusable patterns. You will also help keep systems current, improve operational stability, and contribute to engineering communities and an inclusive team culture.

Requirements

Formal training or certification in software engineering concepts and at least 5 years of hands-on software engineering experience, including system design, application development, testing, and operational support.
Proficiency in back-end technologies such as Java, Spring Boot, or Node.js, and experience building microservices-based applications.
For full-stack roles, proficiency in front-end technologies such as JavaScript, TypeScript, React, or Angular.
Ability to independently solve design and functionality challenges with minimal supervision.
Experience with cloud platforms such as AWS, Azure, or GCP; distributed systems; and web technologies, including RESTful APIs, web services, WebSockets, and JSON.
Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching engineers on safe, compliant adoption.
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Experience with agile development methodologies such as Scrum and understanding of the software development life cycle.
Understanding of application resiliency.
Proficiency in automation and continuous delivery methods.
Proficiency across all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.
Emerging knowledge of software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile.

Nice To Haves

Strong presentation, negotiation, mentoring, and stakeholder-management skills.
Strong problem-solving, analytical, and communication skills.
Ability to drive broader impact by sharing and contributing best practices.
Experience in the banking domain.

Responsibilities

Execute creative software design, development, and technical troubleshooting, including solving complex technical problems.
Deliver end-to-end cloud-native, microservices-based applications using current technologies and industry practices.
Use domain modeling to build business products and structure software for clarity, testability, and evolution.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reusable patterns.
Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve automation outcomes.
Develop secure, high-quality production code and review and debug code written by others.
Identify opportunities to eliminate or automate recurring issue remediation and improve application and system stability.
Lead Software Engineering communities of practice to raise awareness and adoption of new technologies.
Contribute to a team culture of diversity, opportunity, inclusion, and respect.
Investigate and resolve issues promptly and prevent them from recurring.
Continuously update technologies and patterns to keep systems current.
Design and build scalable architectural solutions that avoid single points of failure.
Build scalable, secure, and reliable solutions that support zero-downtime releases and optimize data performance.