Lead Software Engineer - Swift / iOS

Job responsibilities: Develop secure, high-quality production code; review and debug code written by others. Make decisions that impact product design, application functionality, and technical operations. Advise peers and project stakeholders on the adoption of new technologies. 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. Develop mobile applications for iOS using Swift, SwiftUI, and Objective-C.Develop mobile applications for Android using Java and Kotlin. Work on large-scale mobile apps, implementing complex front-end solutions and automated testing. Collaborate with UX designers to prototype and implement new features for improved user experiences. Optimize mobile applications for speed, reliability, and scalability; follow Agile practices such as Scrum and Continuous Delivery. Support Site Reliability Engineering (SRE) practices to ensure excellent user experience and system performance. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience in system design, application development, testing, and maintaining operational stability. Advanced in one or more programming language relevant to mobile development 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 Strong knowledge of mobile development frameworks, includingiOS, Swift, Objective-C, UIKit, Cocoa, SwiftUIFamiliarity with iOS design patterns (MVVM, MVC, MVP, VIPER, MVI, etc.) .Experience integrating native features such asCamera, Push Notifications, GPS, CoreML, and VisionKit. Understanding of mobile application security, includingdevice registration, biometrics, encryption, and data protection .Experience with API integration and use of development tools like Xcode .Proficiency with Git, source code management, and Agile software development methodologies. Preferred qualifications, capabilities, and skills Experience working with copilot or other related tools. Familiarity with build automation tools and frameworks for static and dynamic analysis. Ability to assess technology risks, perform threat modeling, and communicate risk to stakeholders. Experience building relationships with cross-functional teams, including technology, business, audit, and risk partners. Knowledge of OAuth, SSO, and NFC technologies. Experience building and releasing apps to the App Store or enterprise stores using CI/CD pipelines.