27.08.2026 aktualisiert
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info: nicht verfügbar bis 31.12.2026
Senior iOS Developer
Hamburg, Deutschland
Nur Remote
Fachinformatiker für AnwendungsentwicklungSkills
OAuth 2.0AI AgentsClean ArchitectureGitHub CopilotGitHub ActionsRamlJavaScriptAndroidAndroid Application DevelopmentAndroid NDKAndroid StudioApnsIpad AppApple IOSXcode
Mobile: Swift 6.x, SwiftUI, UIKit, Kotlin, Jetpack Compose, Kotlin
Multiplatform (KMP), Compose Multiplatform
Architecture: MVVM, MVVM-C, Clean Architecture, VIPER, Dependency
Injection, modular app and SDK architectures
Platform & APIs: Swift Concurrency, Combine, Ktor, REST, OpenAPI 3.0,
CoreLocation, MapKit, Bluetooth LE, NFC, WebRTC
Security & Identity: OAuth 2.0, OpenID Connect, CryptoKit, Keychain, CBOR, COSE,
X.509, AusweisApp2 SDK
Data & Backend: SwiftData, Core Data, SQLite, JSON, XML, Firebase, Node.js,
React, JavaScript/TypeScript
Computer Vision & AR: ARKit, Vision, OpenCV, Mediapipe, AVKit
Quality & DevOps: Swift Testing, XCTest, CI/CD, GitHub Actions, GitLab CI, Fastlane,
SPM, Gradle, SwiftLint
Accessibility VoiceOver, TalkBack
Tools Xcode, Android Studio, Git, Cursor, Jira, Confluence
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2023
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischGrundkenntnisse
Projekthistorie
Role: iOS Developer, Shareholder
Description:
Development of the EyeScan app for iOS that provides a vision acuity test for the patient. The
patient can start the vision test independently in the EyeScan app and select the eye to be tested. Now, test
signs of various sizes are offered one after the other to determine the threshold of perceptibility. The patient
verbally names the sign, and the input is checked via voice recognition. For the distance measurement we use
a Mix of ARKit, Mediapipe and OpenCV. For hand detection we use Apples Vision Framework.
Quantifiable Achievements:
• Developed distance measurement using face tracking with ARKit.
• Implemented hand detection with Apple Vision.
• Implemented Mediapipe and OpenCV to improve face recognition.
Technologies Used: iOS, Swift, C++, SwiftUI, OpenCV, ARKit, AVKit, Mediapipe, Vision, MVVM-C
Website: https://eyescan.help/
Description:
Development of the EyeScan app for iOS that provides a vision acuity test for the patient. The
patient can start the vision test independently in the EyeScan app and select the eye to be tested. Now, test
signs of various sizes are offered one after the other to determine the threshold of perceptibility. The patient
verbally names the sign, and the input is checked via voice recognition. For the distance measurement we use
a Mix of ARKit, Mediapipe and OpenCV. For hand detection we use Apples Vision Framework.
Quantifiable Achievements:
• Developed distance measurement using face tracking with ARKit.
• Implemented hand detection with Apple Vision.
• Implemented Mediapipe and OpenCV to improve face recognition.
Technologies Used: iOS, Swift, C++, SwiftUI, OpenCV, ARKit, AVKit, Mediapipe, Vision, MVVM-C
Website: https://eyescan.help/
Role: Mobile Developer (Kotlin Multiplatform)
Technologies: Kotlin Multiplatform (KMP), Kotlin, Jetpack Compose, Compose Multiplatform, Swift, SwiftUI, Android, iOS, JavaScript/Web, Ktor,
Koin, Gradle, OAuth 2.0, AusweisApp2 SDK, Clean Architecture, Swift Package Manager (SPM), Fastlane, SwiftLint, Spotless, Swift Macros,
white-label, VoiceOver, TalkBack
Description: Development of a modular identity and authentication SDK for mobile applications in healthcare. Using Kotlin
Multiplatform, core functions such as eID authentication, biometric login, multi-factor authentication and secure communication
were implemented cross-platform for Android, iOS and web. In addition, customer-specific user interfaces were created with
Jetpack Compose, Compose Multiplatform and SwiftUI, as well as demo and integration applications for major statutory health
insurance providers in Germany.
Key achievements:
• Development and extension of several identification methods such as PostIdent (PID), LocalIdent and NECT, including API
integration, repository, storage and use-case layers, ViewModels, dynamic attribute validation, cross-platform UI and
automated tests.
• Set up and automated an iOS release pipeline with GitHub Actions, Fastlane and Firebase App Distribution for efficient delivery
of test builds.
• Improved accessibility of PIN entry on Android and iOS through optimized accessibility labels, VoiceOver hints and clear
screen-reader announcements.
Role: iOS Developer
Description:
Further development of the “blaulichtSMS” app – an app for fire departments in German-speaking regions.
Quantifiable Achievements:
• Modernization of the app to iOS 18, Swift Concurrency, Swift 6.2, SwiftUI, as well as support for iOS 26 – to bring the app up to date.
• Fixing and optimizing the Continuous Integration/Deployment (CI/CD) pipeline, enabling automatic uploading of the app to TestFlight and the App Store.
• Further development of the app and alignment with the Android version to ensure feature parity across both platforms.
Technologies Used: iOS, Swift 6, SwiftUI, UIKit, MessageUI, Swift Concurrency, CI/CD with GitHub Actions, Confluence, Concurrency with Completion Handling, Swift Macros, Generics, Swift Testing, XCTest, Git, REST Services
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