Lead Software Engineer - Python/ Java/ AWS

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

Job Summary

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.