Senior Mobile Engineering Lead: AI-Driven, Secure Apps

JPMorgan Chase & Co.

Ohio

On-site

USD 140,000 - 190,000

Full time

3 days ago

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Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to join the Consumer & Community Banking Mobile Authentication team.

You will drive the design, development, and secure delivery of cross‑platform mobile applications, leading with AI-assisted practices and a focus on reliability across iOS and Android ecosystems. In this role, you will guide teams on architecture, code quality, testing, and production readiness while collaborating with UX partners to deliver trusted, scalable

Qualifications

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.
Proficiency in at least one mobile-relevant programming language.
Strong knowledge of iOS (Swift/Objective-C, UIKit/Cocoa) and/or Android (Java/Kotlin) frameworks.
Experience integrating native device capabilities (Camera, Push Notifications, GPS, CoreML, VisionKit).
Understanding of mobile security (device registration, biometrics, encryption, data protection).
Experience with API integration and mobile tooling (e.g., Xcode) plus auth standards (OAuth/SSO).
Proven delivery of apps via App Store/enterprise distribution using CI/CD; strong Git/source control and Agile practices.
Mobile Native Application and Mobile Browser Testing via devices and simulators in both iOS and Android platform
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
Design and build secure, production-grade mobile solutions, making key decisions on architecture, functionality, and operations
Develop and maintain iOS applications using Swift, SwiftUI, and Objective-C
Develop and maintain Android applications using Java and Kotlin
Review, debug, and improve code written by self and others to ensure quality and maintainability
Optimize and validate performance across devices (iPhone, iPad, Apple Watch, and Android) and form factors
Deliver complex front-end implementations for large-scale mobile applications, including automated testing
Partner with UX/design teams to prototype and implement features that enhance user experience
Drive reliability, scalability, and delivery excellence by applying Agile practices (Scrum/Continuous Delivery) and supporting SRE practices