Lead Software Engineer - AI-Driven, Cloud-Native Architect

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase leads innovative software engineering within Asset and Wealth Management Advisor & Investment Technology. You will design, build, and operate critical tech solutions, mentoring others and upholding high engineering standards across the lifecycle.

You will help the team adopt enterprise-authorized AI-assisted engineering practices responsibly to improve quality and delivery outcomes while ensuring security and reliability.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied software engineering experience
• Strong knowledge of modern architectures and patterns, including microservices, REST APIs, event-driven design, and NoSQL data stores
• Experience building cloud-native applications and services; working knowledge of AWS
• Demonstrated experience delivering at least two large, complex applications end-to-end, from initial build through production delivery
• Working knowledge of CI/CD and DevOps toolchains, observability/monitoring practices, and a test-driven approach within agile delivery models
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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
• Advanced understanding of application resiliency and security principles and practices
• Strong technical documentation skills (e.g., API documentation with OpenAPI/Swagger). Familiarity with AI concepts and developer productivity tools (e.g., Microsoft Copilot)
• Demonstrated experience leading effective use of approved AI-assisted software development tools and setting clear team expectations for validating AI outputs for correctness, performance, and security

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)
• 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

Skills

Microservices

REST APIs

Event-driven design

NoSQL

Cloud-native

AWS

CI/CD

DevOps

Test-driven

Agile

AI-assisted tools

Microsoft Copilot

OpenAPI/Swagger

API documentation

Job description

JPMorganChase leads innovative software engineering within Asset and Wealth Management Advisor & Investment Technology. You will design, build, and operate critical tech solutions, mentoring others and upholding high engineering standards across the lifecycle.

You will help the team adopt enterprise-authorized AI-assisted engineering practices responsibly to improve quality and delivery outcomes while ensuring security and reliability.