Mobile Sr Lead Software Engineer

Responsibilities

• Provide technical guidance and direction to technical teams, contractors, and vendors.
• Drive adoption, governance, and validation standards for approved AI-assisted engineering practices.
• Design and build secure, scalable, production-grade mobile solutions.
• Develop and maintain native iOS applications using Swift, SwiftUI, and Objective-C.
• Develop and maintain native Android applications using Java and Kotlin.
• Review, debug, and improve code for quality and maintainability.
• Optimize and validate mobile application performance across iOS and Android devices and form factors.
• Deliver complex front-end mobile implementations with automated testing.
• Integrate native device capabilities, APIs, authentication standards, and mobile tooling.
• Support app distribution, CI/CD delivery, source control, reliability, scalability, and operational stability.
• Partner with UX and cross-functional technology, business, audit, and risk teams.
• Coach engineers on responsible, secure, and compliant use of AI-assisted development tools.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on experience with system design, application development, testing, and operational stability.
• Proficiency in at least one mobile-relevant programming language.
• Strong knowledge of iOS or Android frameworks, including Swift/Objective-C, UIKit/Cocoa, or Java/Kotlin.
• Experience integrating camera, push notification, GPS, CoreML, and VisionKit capabilities.
• Understanding of mobile security, including device registration, biometrics, encryption, and data protection.
• Experience with API integration, Xcode, OAuth, and SSO.
• Proven delivery of applications through App Store or enterprise distribution using CI/CD, Git, and source control.
• Experience testing native mobile applications and mobile browsers on devices and simulators across iOS and Android.
• Experience leading enterprise-authorized AI-assisted software development practices and validating AI outputs for correctness, performance, and security.
• Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations.
• Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
• Preferred experience with iOS patterns such as MVVM, MVC, MVP, and VIPER.
• Preferred familiarity with build automation and static and dynamic analysis tools.
• Preferred ability to assess technology risks, perform threat modeling, and communicate risk to stakeholders.
• Preferred experience working with technology, business, audit, and risk partners.

Benefits

• Competitive total rewards package with base salary determined by role, experience, skill set, and location; eligible roles may also receive commission-based or discretionary incentive compensation.
• Comprehensive health care coverage and access to on-site health and wellness centers.
• Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Equal opportunity employer offering reasonable accommodations for religious practices, mental health needs, and physical disabilities.