Full Stack Lead Software Engineer

JPMorgan Chase & Co.•Jersey City, NJ

2h•$156,750 - $215,000

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 business objectives. The role involves building cloud-native, microservices-based applications and scalable, secure, reliable solutions, while applying modern architectural patterns and enterprise-authorized AI-assisted engineering practices. You will help improve code quality, delivery speed, and operational outcomes, and contribute to team culture and engineering communities of practice.

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 AI outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security 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 and proficiency in automation and continuous delivery methods.
Proficiency across the Software Development Life Cycle and advanced understanding of agile methodologies, 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.

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, using approaches beyond routine or conventional solutions.
Deliver end-to-end cloud-native, microservices-based applications using current technologies and industry best practices.
Use domain modeling techniques 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 validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns.
Apply Software Development Life Cycle toolchain capabilities, including authorized AI-assisted development and automation tools, to improve the value of automation.
Develop secure, high-quality production code; review and debug others’ code; and identify opportunities to eliminate or automate recurring issues to improve operational stability.
Lead Software Engineering communities of practice to promote awareness and use of new and leading-edge technologies, while supporting a culture of diversity, opportunity, inclusion, and respect.
Investigate and resolve issues promptly and help prevent recurrence; keep technologies and patterns current.
Design and build solutions that avoid single points of failure through scalable architectural patterns.
Design and build scalable, secure, reliable solutions using modern architectural patterns that support zero-downtime releases and optimize data performance.