JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - React, Java

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-time$156.8k - $215kIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts, or equivalent applied experience of at least five years.
Hands-on expertise in React, including component architecture, performance optimization, state management, and accessibility.
Backend development experience with Java and Spring Boot, including API design, service patterns, and integration.
Experience redesigning or modernizing web products, including migration efforts such as legacy or low-code systems to modern architecture, including micro-frontends.
Understanding of API integration across distributed systems, including reliability, latency, observability, and security.
Experience with testing and software development life cycle best practices and implementing or operating continuous integration and continuous delivery pipelines.
Practical understanding of cloud infrastructure and operational concerns, including deployment patterns, monitoring and logging, and environment management.
Understanding of responsible artificial intelligence use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Experience leading effective use of approved artificial intelligence-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating outputs for correctness, performance, and security.

Responsibilities

Lead React user-interface architecture focused on scalable, maintainable, performant, and accessible experiences.
Modernize low-code products to micro-frontends by defining migration strategy, incremental rollout, and coexistence patterns.
Deliver consistent user experiences using reusable components and design-system patterns, translating Figma designs into responsive, high-fidelity interfaces.
Establish and enforce user-interface engineering standards for state management, code conventions, performance profiling, and telemetry and observability.
Design and build Java and Spring Boot backend services and APIs, including microservices and REST, and event-driven patterns where appropriate, to eliminate repetitive toil.
Integrate multiple APIs and data sources using secure, reliable contracts for authentication, sessions, caching, pagination, error handling, and rate limits.
Build production-ready chat and agentic features, including streaming user experiences, session and history handling, tool or function calling, and lightweight orchestration with retries and fallbacks.
Drive engineering excellence through end-to-end troubleshooting and durable fixes, strong software development life cycle practices, automated testing, continuous integration and delivery, and cloud and platform collaboration.
Drive team adoption of enterprise-authorized artificial intelligence-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing validation standards for secure coding, peer review, and automated testing and promoting reuse of effective patterns.
Apply software development life cycle toolchain capabilities, including enterprise-authorized artificial intelligence-assisted development and automation, to improve the value realized by automation.

Desired Qualifications

Experience with design systems, component libraries, and functional and behavioral testing strategies.
Product design thinking, including simplifying ambiguous requirements into usable flows and collaborating closely with design and stakeholders.
Experience building conversational or agentic features in production, including user experience, tool or function calling, and orchestration patterns.
Familiarity with containers, orchestration concepts such as Kubernetes, and modern DevOps practices.
Experience with observability practices such as metrics, logs, and traces, and operational readiness practices such as runbooks and service-level objectives.

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 Infrastructure Platforms Cloud Foundational Services, you will modernize a web product with secure, stable, and scalable engineering. You’ll build intuitive, accessible, high-performance React experiences and define a scalable front-end architecture informed by strong product design thinking. You’ll partner these UI capabilities with robust Java/Spring Boot services, integrating across APIs and multiple data sources to meet business objectives. You’ll also deliver production-ready conversational/agentic features (UX, tool/function calling, lightweight orchestration) with a focus on safety, observability, and reliability.

Job responsibilities

Leads UI-forward React architecture focused on scalable, maintainable, performant, and accessible (WCAG-minded) experiences.
Modernizes from low-code to micro-frontends: define migration strategy, incremental rollout, and coexistence patterns.
Delivers polished, consistent UX using reusable components and design-system patterns; translate Figma into responsive, high-fidelity UI.
Establishes/enforces UI engineering standards (state management, code conventions, performance profiling, telemetry/observability).
Designs and builds Java/Spring Boot backend services and APIs (microservices/REST; event-driven where appropriate)to eliminate or repetitive toil
Integrates across multiple APIs and data sources with secure, reliable contracts (auth, sessions, caching, pagination, error handling, rate limits).
Builds production-ready chat/agentic features: streaming UX, session/history, tool/function calling, lightweight orchestration with retries/fallbacks.
Drives engineering excellence: end-to-end troubleshooting and durable fixes; strong SDLC, automated testing, CI/CD, and cloud/platform collaboration.
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.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Deep hands-on expertise in React (component architecture, performance optimization, state management, accessibility).
Strong backend development experience with Java + Spring Boot (API design, service patterns, integration).
Experience redesigning or modernizing web products, including migration efforts (e.g., legacy/low-code to modern architecture, including micro-frontends).
Strong understanding of API integration across distributed systems (reliability, latency, observability, security).
Proven experience with testing and SDLC best practices and implementing/operating CI/CD pipelines.
Practical understanding of cloud infrastructure and operational concerns (deployment patterns, monitoring/logging, environment management).
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
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.
Preferred qualifications, capabilities, and skills
Experience with design systems, component libraries, and testing strategies (functional & behavioral).
Strong product design thinking: simplifying ambiguous requirements into usable flows; comfort collaborating closely with design and stakeholders.
Experience building conversational/agentic features in production (UX, tool/function calling, orchestration patterns).
Familiarity with containers and orchestration concepts (e.g., Kubernetes), plus modern DevOps practices.
Experience with observability practices (metrics, logs, traces) and operational readiness (runbooks, SLOs).

Base Pay/Salary: Jersey City,NJ $156,750.00-$215,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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