Lead Software Engineer - Python/ Java/ AWS

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase within Asset and Wealth Management Advisor & Investment Technology seeks a Lead Software Engineer to design, build, and operate critical technology solutions aligned to firm objectives.

You will contribute production code, raise engineering standards through reviews and mentorship, and drive reliability, security, and operational excellence across the software lifecycle, including responsible AI adoption.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied software engineering experience.
• Experience delivering at least two large, complex applications end-to-end.
• Experience with microservices, REST APIs, and event-driven design.
• Experience building cloud-native applications on AWS.
• Strong CI/CD and DevOps tooling experience.
• Familiarity with AI-assisted development tools and responsible AI practices.

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 AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns across the team.
• Applies knowledge of SDLC tools, including enterprise AI-assisted development and automation capabilities, to improve value of automation.
• Identifies opportunities to automate remediation of recurring issues to improve operational stability of software.
• Leads evaluation sessions with external vendors, startups, and internal teams to probe architecture and applicability for existing systems.

Skills

Microservices

REST APIs

Event-driven design

NoSQL data stores

Cloud-native applications

AWS

CI/CD

DevOps

Test-driven development

Agile delivery

AI-assisted development

Secure coding

Application security

OpenAPI/Swagger

Microsoft Copilot

Tools

OpenAPI/Swagger

Microsoft Copilot

Job description

As a Lead Software Engineer at JPMorganChase within Asset and Wealth Management Advisor & Investment Technology, you will be a hands-on technical developer responsible for designing, building, and operating critical technology solutions aligned to firm objectives. You will contribute directly to production code, raise engineering standards through review and mentorship, and drive reliability, security, and operational excellence across the software lifecycle. You will also help the team adopt enterprise-authorized AI-assisted engineering practices in a responsible, controlled manner to improve quality and delivery outcomes.

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

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied software engineering experience
• Strong knowledge of modern architectures and patterns, includingmicroservices, REST APIs, event-driven design, andNoSQLdata stores.
• Experience buildingcloud-native applications and services; working knowledge ofAWS(or comparable cloud platform).
• Demonstrated experience deliveringat least two large, complex applications end-to-end, from initial build through production delivery (ideally in a large financial institution or world-class product engineering organization).
• Working knowledge ofCI/CD and DevOps toolchains, observability/monitoring practices, and atest-drivenapproach withinagiledelivery models.
• 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
• Advanced understanding ofapplication resiliency and securityprinciples and practices.
• Strong technical documentation skills (e.g., API documentation withOpenAPI/Swagger). Familiarity with AI concepts and developer productivity tools (e.g.,Microsoft Copilotor similar).
• Demonstrated experience leading effective use ofapproved AI-assisted software development tools(coding, code review, test acceleration, troubleshooting) and setting clear team expectations for validating AI outputs for correctness, performance, and security.

Preferred Qualifications, Capabilities, and Skills

• Experience designing and buildinghigh-availabilitysystem architectures.
• Demonstrated ability to driveengineering process improvementsand change adoption, including culture and ways-of-working changes.