Kotlin Android Engineer – Global Impact, Hybrid/London

Muzz; Greater London; Hybrid; GBP 41.000 - 68.000; Vollzeit

Zusammenfassung

Muzz in London is seeking an Android engineer to join our in-house team. You will develop and maintain Kotlin-based apps used by millions, implementing modern Android features and performance optimisations.

Requirements include 2+ years building Android apps in Kotlin, strong Coroutines, UI test automation, knowledge of Material Design, and familiarity with Scrum/Kanban. You’ll thrive in a fast-paced, entrepreneurial environment and iteratively improve across features.

Qualifikationen

• 2+ years creating cutting edge Android apps in Kotlin.
• Strong grasp of Coroutines.
• Experience with caching.
• Ability to iterate quickly on designs across multiple feature areas.
• Experience with Scrum or Kanban and Agile methodologies.
• Developing and maintaining Android applications from requirements to the Google Play Store.
• Willing to learn and be hands-on.
• Entrepreneurial spirit and proactive attitude.
• UI Test Automation.
• Knowledge of Material Design and new Android developments.
• Familiar with Google IO and Android.
• Experience with threading, animation, video/image manipulation, messaging.

Aufgaben

• Develop and maintain Android applications from requirements to the Google Play Store.
• Collaborate with design and product to implement features across the app.
• Improve performance and reliability of the Android apps.

Kenntnisse

Kotlin Android

Coroutines

Caching

Iterative design

Agile

UI Testing

Material Design

Multithreading

Jobbeschreibung

Muzz in London is seeking an Android engineer to join our in-house team. You will develop and maintain Kotlin-based apps used by millions, implementing modern Android features and performance optimisations.

Requirements include 2+ years building Android apps in Kotlin, strong Coroutines, UI test automation, knowledge of Material Design, and familiarity with Scrum/Kanban. You’ll thrive in a fast-paced, entrepreneurial environment and iteratively improve across features.