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# Lead Software Engineer - Java / Digital Asset / Blockchain

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Software Applications, Automation of Tests, Software Quality, Code Review, Continuous Integration, Digital Assets, Cryptographic Protocols, Key Management, Object-Oriented Software Development, Software Tools, Blockchain, Secure Coding, Software Engineering, Software Systems, Systems Integration, Strategies of Testing, Toolchain, Test-Driven Development (TDD), Spring-boot, Git, Hyperledger, Production Code, Ethereum, Web3.js, Code Restructuring, Jenkins
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=34441c1f0e4e5c4b

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Design and develop scalable, secure services utilizing Java, Spring Boot, and TDD
 * Collaborate with platform teams to enhance developer experience, toolchains, and cloud-hosted blockchain services.3
 * Work closely with Product, Operations, and Core Blockchain teams to innovate and execute transformative blockchain use cases.
 * Strong object-oriented programming language background in Java or more of the following languages: Go, Rust or JavaScript
 * Proficiency with enterprise development toolchains: Git, Jenkins, CI/CD pipelines, automated testing
 * Practical experience delivering system design, application development, testing, and operational stability
 * Proven track record delivering complex software projects into production
 * Excellent collaboration, facilitation, and communication skills; ability to work with diverse stakeholder groups
 * 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

 * Hands-on knowledge of end-2-end development in web3 ecosystem - such as smart contract development, deployment, interaction with RPC providers, integrating with key management systems is a plus
 * Exposure to building on public or permissioned blockchain platforms (e.g., Ethereum/EVM, Hyperledger, Solana, Polkadot, Cosmos, Avalanche, Canton) is a plus
 * Thorough understanding of cryptographic protocols and blockchain implementations
 * Good understanding in key management, custody solutions and cryptographic fundamentals is a plus

## Description

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 Asset & Wealth Management, Digital Assets 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 break down technical problems
 * Develops secure high-quality production code, and reviews and debugs code written by others
 * 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
 * Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
 * Adds to team culture of diversity, opportunity, inclusion, and respect
 * 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.


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