JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Java Fullstack, Risk Framework

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$156.8k - $215k /yrIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience in Java.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficiency in one or more programming languages, with strong hands-on experience with Java and Spring Boot or equivalent frameworks.
Strong experience building frontend applications using React and TypeScript, including working with design systems and component libraries.
Strong knowledge of DevOps practices, including continuous integration and continuous delivery, infrastructure automation, release management, and operational readiness.
Practical experience applying site reliability engineering and reliability engineering practices, including observability, incident response, root cause analysis, and reliability improvements.
Solid understanding of the Software Development Life Cycle and agile methodologies, including application resiliency and security fundamentals.
Experience designing and operating application programming interfaces and integration patterns; REST is required, along with event-driven patterns.
Experience with automated testing across the stack, including unit, integration, and user-interface testing, and quality engineering practices.
Demonstrated experience leading effective use of approved artificial-intelligence-assisted software development tools for coding, code review, test acceleration, or troubleshooting, with the ability to set team expectations for validating outputs for correctness, performance, and security.
Strong understanding of responsible artificial intelligence use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting, using approaches beyond routine or conventional methods to build solutions and resolve technical problems.
Develop secure, high-quality production code and review and debug code written by others.
Drive team adoption of enterprise-authorized artificial-intelligence-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards for secure coding, peer review, and automated testing and promoting reuse of effective patterns.
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized artificial-intelligence-assisted development and automation capabilities, to improve automation outcomes.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

Desired Qualifications

Practical cloud-native experience with containers, orchestration, and managed services.
Familiarity with distributed systems patterns, including resilience, idempotency, rate limiting, and caching.
Familiarity implementing security controls in the Software Development Life Cycle, including threat modeling, secrets management, and secure-by-design practices.
On-call ownership of service health, with a focus on reducing toil through automation.
Exposure to data and analytics tooling for operational insights, including reliability trends, latency, and error analysis.
Exposure to modernizing legacy systems without disrupting business delivery.

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 Corporate Technology, you serve as a senior technical lead on an agile team, driving delivery of trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for setting technical direction, owning end-to-end delivery across full stack engineering and DevOps/SRE practices, and proactively reducing operational risk through automation and resilient design.

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
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
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 in Java
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficiency in one or more programming languages; strong hands-on experience with Java and Spring Boot (or equivalent frameworks)
Strong experience building frontend applications using React and TypeScript, including working with design systems and component libraries
Strong knowledge of DevOps practices: CI/CD, infrastructure automation, release management, and operational readiness
Practical experience applying SRE and reliability engineering practices, including observability, incident response, root cause analysis, and reliability improvements
Solid understanding of the Software Development Life Cycle and agile methodologies, including Application Resiliency and Security fundamentals
Experience designing and operating APIs and integration patterns (REST required; event-driven patterns)
Experience with automated testing across the stack (unit, integration, UI) and quality engineering 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.
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

Preferred qualifications, capabilities, and skills

Practical cloud-native experience (containers, orchestration, managed services)
Familiarity with distributed systems patterns (resilience, idempotency, rate limiting, caching)
Familiarity implementing security controls in the SDLC (threat modeling, secrets management, secure-by-design)
On-call ownership of service health with a focus on reducing toil through automation
Exposure to data and analytics tooling for operational insights (reliability trends, latency, error analysis)
Exposure modernizing legacy systems without disrupting business delivery

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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