Front End Lead Software Engineer
JPMorgan Chase · Columbus, United States · 17h ago
Staff / Lead / PrincipalOn-siteSoftware Engineering
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
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 JPMorganChase within the Consumer & Community Banking Digital Platform 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
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Digital Platform 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
- Codes in Web technologies (React, JavaScript and Typescript) and conduct end to end testing using (Jest, Playwright, React testing library, or Selenium)
- Contribute and collaborate in creation and consumption of open, standards-based solutions, while working with existing enterprise technologies and infrastructure
- Adheres to architecture standards, risk management, and security policies
- Contributes and collaborates in the creation and consumption of open, standards-based solutions, while working with existing enterprise technologies and infrastructure
- Ensures quality and completeness of the product through unit, component, integration, and end-to-end testing
- Leads, mentors and guides developers through code reviews, technical direction, and a culture of engineering excellence (Capable as well of independent delivery and platform-level support across all digital product areas)
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- 8+ years delivering technology solutions (Web development, HTML5, CSS, and JavaScript, and Jenkins or a comparable CI/CD tool)
- Strong hands on expertise with web technologies: React, JavaScript, and TypeScript
- Experience with software design patterns and paradigms, including OOP, functional programming FP, and RESTful API design
- Strong, recent experience building production AI-powered applications; demonstrated knowledge of multi-agent orchestration, streaming architectures, security guardrails, RAG patterns, and LLM observability and resilience
- Experience in unit, component, integration, and end-to-end testing using libraries such as Jest, Playwright, React Testing Library, or Selenium
- Solid experience with Single Page Application (SPA) development and performance optimization for React or similar frameworks
- Experience with secure coding practices, including input validation, authentication patterns, and adherence to OWASP guidelines
Preferred qualifications, capabilities, and skills
- Hands-on experience with AI agent frameworks and Software Development Kits such as (Open AI Agents SDK, AWS Bedrock, LangChain, LangGraph, multi-agent workflows/loops; streaming architectures: SSE/WebSocket; security and guardrails: prompt injection, tool-level rails; RAG patterns: vector search, chunking, re-ranking; observability and resilience: retry/backoff strategies, structured logging and token usage tracking)
- Knowledge and experience with Cloud related technologies such as Kubernetes, Docker, Heroku, GKP/EKS, AWS EC2, ECS, S3, and Athena
- Hands-on experience with relational databases, GraphQL and integrating these with web services
- Experience with Server-Side Rendering (SSR) and Static Site Generation (SSG), preferably using Next.js
- Practice of Test-Driven Development (TDD) or Business-Driven Development (BDD) and Continuous Integration/Delivery
- Strong grasp of functional JavaScript programming, preferably with Node.js; and Python and Python for backend or AI scripting
- Experience with behavioral analytics platforms (e.g. Adobe Analytics, Amplitude) and experimentation tools (e.g. Split.io)