Ios Software Engineer Jobs

About The Position

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Experience in system design, application development, testing, and maintaining operational stability.
• Advanced proficiency in one or more programming languages relevant to mobile development.
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
• Strong knowledge of mobile development frameworks and technologies, including iOS, Swift, Objective-C, UIKit, Cocoa, and SwiftUI.
• Familiarity with iOS design patterns such as MVVM, MVC, MVP, VIPER, and MVI.
• Experience integrating native features such as Camera, Push Notifications, GPS, CoreML, and VisionKit.
• Understanding of mobile application security, including device registration, biometrics, encryption, and data protection.
• Experience with API integration and development tools such as Xcode.
• Proficiency with Git, source code management, and Agile software development methodologies.

Nice To Haves

• Experience working with Copilot or related tools.
• Familiarity with build automation tools and frameworks for static and dynamic analysis.
• Ability to assess technology risks, perform threat modeling, and communicate risks to stakeholders.
• Experience building relationships with cross-functional technology, business, audit, and risk teams.
• Knowledge of OAuth, SSO, and NFC technologies.
• Experience building and releasing apps to the App Store or enterprise stores using CI/CD pipelines.

Responsibilities

• Develop secure, high-quality production code and review and debug code written by others.
• Make decisions that affect product design, application functionality, and technical operations.
• Advise peers and project stakeholders on adopting new technologies.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
• Use Software Development Life Cycle toolchain capabilities, including authorized AI-assisted development and automation tools, to improve the value of automation.
• Develop mobile applications for iOS using Swift, SwiftUI, and Objective-C, and for Android using Java and Kotlin.
• Build large-scale mobile applications, implement complex front-end solutions, and develop automated tests.
• Collaborate with UX designers to prototype and implement features that improve user experience.
• Optimize mobile applications for speed, reliability, and scalability, following Agile practices such as Scrum and Continuous Delivery.
• Support Site Reliability Engineering practices to help ensure excellent user experience and system performance.