Job Description

Join a team that's shaping the future of digital investing for millions of customers. This is your opportunity to build innovative mobile experiences that empower people to take control of their financial futures — all while growing your career alongside some of the best engineers in the industry.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking division under Self Directed Investing, 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

Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develop secure, high-quality production code, and review and debug code written by others
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
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.
Lead 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
Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Partner with product, design, and backend teams to translate requirements into reliable iOS experiences (performance, accessibility, localization, and resiliency)

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
5+ years of combined software/application development experience, including mobile development
3+ years of experience leading technology and mentoring a team of diverse sets of engineers building native iOS apps
Strong iOS development background building mobile applications using Swift (and familiarity with Objective-C in mixed codebases)
Proficiency with iOS frameworks and UI development, including UIKit and/or SwiftUI, Auto Layout, and Apple Human Interface Guidelines
Familiarity with architecture patterns such as MVVM, MVC, VIPER/Clean Architecture, and patterns like Coordinator for navigation
Experience with modern iOS native development tools and systems: Xcode, Swift Package Manager (SPM), CocoaPods (as applicable)
Strong understanding of iOS concurrency and reactive patterns: async/await, GCD, and optionally Combine
Experience with local persistence and device capabilities: Core Data, Keychain, background tasks, push notifications
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

Exposure to Agentic AI / GenAI
Experience with XCTest / XCUITest, test doubles/mocking approaches, and snapshot testing
Proficiency with Instruments (Time Profiler, Allocations, Leaks) and crash/performance analysis
Experience with CI/CD pipelines for mobile applications
Familiarity with accessibility best practices and VoiceOver testing

Job Description

Job responsibilities

Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develop secure, high-quality production code, and review and debug code written by others

Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

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.

Lead 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

Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Partner with product, design, and backend teams to translate requirements into reliable iOS experiences (performance, accessibility, localization, and resiliency)

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

5+ years of combined software/application development experience, including mobile development

3+ years of experience leading technology and mentoring a team of diverse sets of engineers building native iOS apps

Strong iOS development background building mobile applications using Swift (and familiarity with Objective-C in mixed codebases)

Proficiency with iOS frameworks and UI development, including UIKit and/or SwiftUI, Auto Layout, and Apple Human Interface Guidelines

Familiarity with architecture patterns such as MVVM, MVC, VIPER/Clean Architecture, and patterns like Coordinator for navigation

Experience with modern iOS native development tools and systems: Xcode, Swift Package Manager (SPM), CocoaPods (as applicable)

Strong understanding of iOS concurrency and reactive patterns: async/await, GCD, and optionally Combine

Experience with local persistence and device capabilities: Core Data, Keychain, background tasks, push notifications

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

Exposure to Agentic AI / GenAI

Experience with XCTest / XCUITest, test doubles/mocking approaches, and snapshot testing

Proficiency with Instruments (Time Profiler, Allocations, Leaks) and crash/performance analysis

Experience with CI/CD pipelines for mobile applications

Familiarity with accessibility best practices and VoiceOver testing