We are seeking a Lead Mobile Engineer with deep expertise in iOS development and strong working knowledge of Android to provide technical leadership while remaining hands-on in the design, development, and delivery of AI-enabled mobile applications. This role combines technical leadership, solution design, and mentorship while partnering closely with Product, Design, Backend, Data, and AI teams to deliver high-quality mobile solutions.
The ideal candidate is passionate about building secure, scalable, and intuitive mobile experiences and is excited to apply AI/ML capabilities such as personalization, intelligent automation, and predictive insights within mobile products.
Key Responsibilities
- Provide day-to-day technical leadership for the mobile engineering team while remaining actively involved in software development and code reviews.
- Design, develop, and maintain native iOS applications using Swift, SwiftUI, Combine, and UIKit, ensuring performance, scalability, and security.
- Contribute to Android development efforts and help maintain cross-platform consistency using Kotlin and Android architecture components.
- Implement on-device and cloud-based AI/ML capabilities using modern mobile and backend frameworks.
- Collaborate with Product, Design, Backend Engineering, QA, Data, and AI teams to deliver high-quality mobile solutions.
- Promote engineering best practices, reusable components, and coding standards within the mobile team.
- Drive continuous improvements to CI/CD pipelines, automated testing, application performance, crash analytics, and monitoring.
- Implement and support observability solutions using Firebase, Datadog, Xcode Instruments, Google Analytics, and Adobe Analytics.
- Mentor and support mobile engineers through technical guidance, code reviews, and knowledge sharing.
- Lead feature delivery from technical design through deployment while contributing production-quality code.
- Assist with technical design reviews and solution planning for new mobile capabilities.
- Collaborate with business stakeholders to translate product requirements into scalable technical solutions.
- Operate in an AI-driven SDLC environment utilizing GitHub Copilot, Xcode AI integrations, and other AI-assisted development tools.
- Support production issues, application releases, and ongoing operational improvements.
Required Qualifications
- 6+ years of mobile application development experience.
- Expert-level proficiency in Swift, SwiftUI, Combine, and UIKit.
- Working knowledge of Kotlin and Android architecture components.
- Experience with Azure DevOps, Git, Fastlane, Firebase, and modern CI/CD practices.
- Experience deploying applications through the Apple App Store, TestFlight, Google Play, and internal testing tracks.
- Experience building cloud-connected mobile applications using Azure or AWS.
- Strong understanding of REST APIs, OAuth2 authentication, and mobile security best practices.
- Experience implementing accessibility standards including WCAG and inclusive mobile design principles.
- Experience implementing Datadog dashboards, Google Analytics, Adobe Analytics, monitoring, and alerting for mobile applications.
- Experience with automated testing, unit testing, TDD, and CI/CD pipelines.
- Proficiency with Xcode, Android Studio, GitHub, Jira, Confluence, and Figma.
- Strong understanding of mobile analytics, crash reporting, and application performance optimization.
- Experience working within Agile development teams utilizing AI-assisted development workflows.
- Strong project organization skills including feature estimation, sprint planning, and technical delivery.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience developing fintech or consumer-facing mobile applications.
- Experience with mobile payments, identity verification, push notification platforms, or similar consumer technologies.
- Experience integrating AI or machine learning features into mobile applications.
- Contributions to open-source mobile libraries or published technical content are a plus.
- Ability to work in the U.S. without sponsorship
- Ability to meet the location requirement outlined above
Pay Transparency: "The expected pay range for this position is $60.00–$82.00 per hour. Final compensation will be determined based on experience, skills, and qualifications. Non-exempt employees are eligible for overtime. Full-time employees are eligible to select from different benefits packages. Packages may include medical, 401(k) without employer match. Paid Sick leave is provided based on state or local laws."
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