Sr Lead Software Engineer - Java - Digital Assets

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co in New York, NY is seeking a Lead Software Engineer within the Asset & Wealth Management, Digital Assets Team. You will be an integral part of an agile team that builds trusted market-leading technology products in a secure, scalable way.

You will contribute as a core technical owner, delivering across Java, Spring Boot, cloud-native services, and AI-assisted tooling while collaborating with Product, Operations, and Core Blockchain teams to drive transformative blockchain use

Qualifications

• 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.
• 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 Go, Rust, or JavaScript.
• Proficiency with enterprise development toolchains: Git, Jenkins, CI/CD pipelines, automated testing.
• Demonstrable practical cloud native experience, in particular AWS and Kubernetes.
• Practical experience delivering system design, application development, testing, and operational stability.
• Demonstrated experience leading AI-assisted software development tools and setting team validation standards.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Identifies opportunities to automate remediation and improve operational stability of software applications.
• Leads evaluation sessions with vendors, startups, and internal teams on architectural designs and applicability.
• Leads communities of practice across Software Engineering to drive awareness of new technologies.
• Adds to team culture of diversity, opportunity, inclusion, and respect.
• Drives adoption and governance of AI-assisted engineering practices across teams with measurable validation standards.
• Applies SDLC toolchain knowledge to improve value of automation at scale.

Skills

Java

Spring Boot

TDD

Object-oriented programming

Go

Rust

JavaScript

AI-assisted development tools

Education

Software engineering certification

Tools

Git

Jenkins

CI/CD pipelines

AWS

Kubernetes

Job 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 adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

• 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
• Demonstrable practical cloud native experience, in particular AWS and Kubernetes.
• Practical experience delivering system design, application development, testing, and operational stability
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

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