React/Java Lead Fullstack Engineer - Lead Software Engineer

JPMorgan Chase & Co.•Jersey City, NJ

2d•$156,750 - $215,000

About The Position

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorganChase within the Payments Trust & Safety Technology 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 will be part of the Fraud Protection group, building solutions for clients to protect themselves against fraudulent behavior. Drive significant business impact through your capabilities and contributions, and apply collaborative problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 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.

Requirements

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) - React, TypeScript, Java, Springboot, Microservices
Hands-on practical experience React, TypeScript, JavaScript, Redux , Redux Toolkit, GraphQL, HTML5, CSS3, REST API integration
Experience in React Router frontend routing, Module Federation Micro Frontends.
Experience with AWS Services such as ECS EKS, Lambda, S3, EC2, Kafka, NLB.
Experience with Databases
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
In-depth knowledge of the financial services industry and their IT systems

Nice To Haves

Familiarity with modern front-end technologies
Strong enterprise architecture design concepts to allow for unified user experience leveraging data sharing capabilities with API, Kafka
Case management workflow and orchestration to serve as the backbone of a unified user experience across multiple cross-functional teams
Vibe coding experience and conceptual knowledge while leveraging developer assistant tools like GitHub Copilot to allow for efficiency gains

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Monitor and collect performance statistics, analyzing product performance and scalability across diverse hardware, software, and configurations
Serve as performance advisors within teams to ensure performance considerations are integrated into development practices, optimizing infrastructure scalability
Influence leaders and senior stakeholders across business, product, and technology teams
Proactively anticipate and identify issues that could negatively impact performance, working to eliminate or mitigate them
Plan and develop methodologies for standard performance benchmarks and comparisons
Design, develop, and implement tools to automate performance measurement and analysis
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