Senior iOS & Backend Engineer for Invites Platform

Apple; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Apple Invites team is seeking an iOS and backend software engineer to build high quality, beautiful iOS applications and scalable backend services powering iCloud experiences. You will partner across Apple teams to craft events and invitations with a privacy-first, high-security approach.

You will contribute to maintainable architectures, write performant code in Swift/SwiftUI, and help shape backend APIs, cloud data persistence, and GenAI-assisted workflows in a collaborative, inclusive

Qualifications

• Proven track record delivering iOS apps with Swift and SwiftUI.
• Experience with iOS SDK, SwiftUI, UIKit and CloudKit/SwiftData.
• Strong problem solving, debugging, and code-quality focus.
• Experience with unit/integration tests and AI-assisted development tools.

Responsibilities

• Develop and maintain features for the Apple Invites iOS app.
• Collaborate with designers to implement UI/UX per Apple design principles.
• Write clean, well-documented code in Swift, SwiftUI, UIKit and backend languages.
• Develop backend services and APIs powering Invites.
• Ensure performance, reliability, and privacy standards.
• Participate in full SDLC and code reviews.
• Leverage GenAI tools to accelerate development.
• Apply AI responsibly following Apple's guidelines.

Skills

iOS development

Swift

SwiftUI

UIKit

Problem solving

Debugging

AI-assisted development

Communication

Backend familiarity

Tools

CloudKit

SwiftData

REST APIs

gRPC

Java

Go

C++

AWS

GCP

Job description

Apple Invites team is seeking an iOS and backend software engineer to build high quality, beautiful iOS applications and scalable backend services powering iCloud experiences. You will partner across Apple teams to craft events and invitations with a privacy-first, high-security approach.

You will contribute to maintainable architectures, write performant code in Swift/SwiftUI, and help shape backend APIs, cloud data persistence, and GenAI-assisted workflows in a collaborative, inclusive