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# Lead Software Engineer - iOS Engineer

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $156,750.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, IOS Applications, Apple Mac Systems, Apple Xcode, Software Applications, App Store (IOS), Automation of Tests, Unit Testing, Code Coverage, Profiling, Software Quality, Code Review, Continuous Integration, Software Debugging, Software Design Patterns, Linux, Model View Controller (MVC), Model View ViewModel, Software Tools, Secure Coding, Singleton Pattern, Software Engineering, Software Systems, Strategies of Testing, Toolchain, Uikit, Scripting, Ios Frameworks, Git, Core Data, Information Technology, Production Code, GNU Operating System, Cocoa Touch, Bitbucket, Code Restructuring, Programming Languages
- **Published:** August 17, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3357084643&tx=JL5953FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Formal training or certification on software engineering concepts and 5+ years applied experience
 * Hands-on practical experience delivering system design, application development, testing, and operational stability
 * Advanced in one or more programming language(s): experience in designing and implementing iOS applications using Swift UI
 * 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
 * Experience working with API integration and proficiency with Linux, Mac OS X, GNU tools, and scripting languages
 * Experience in iOS Frameworks like Foundation, UIKit, CocoaTouch, and Core Data and experience with Unit Testing frameworks and Code coverage tools for Swift
 * Experience in using Xcode-provided tools like Debug Memory Graph, Debug View Hierarchy, Instruments for Profiling
 * Experience with One or more Design Patterns - MVC, MVVM, MVP, Singleton and working knowledge of Git/Bitbucket version control
 * Experience creating an application that is available in Apple's AppStore
 * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

 * In-depth knowledge of the financial services industry and their IT systems
 * Practical cloud native experience

## Description

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking's technology 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., * 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


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