Senior Software Developer - Mobile (Kotlin)

About Veryon

Role overview

Day-to-day responsibilities

• Design cross-platform apps that share business logic across Android and iOS while using native platform capabilities.
• Build shared networking, domain, data, and caching modules and integrate them with Android and iOS layers.
• Write testable, documented Kotlin code; collaborate across teams to translate business requirements into mobile solutions.
• Take part in Agile ceremonies, code reviews, technology evaluations, and KMP/KMM best-practice discussions.
• Mentor junior engineers on mobile architecture and shared-code strategies.

Requirements

• 4 to 8 years of hands-on mobile application development using Kotlin Multiplatform.
• Proven KMP experience sharing business logic across Android and iOS; strong Kotlin skills, including coroutines and flows.
• Knowledge of MVVM, MVI, or Clean Architecture patterns and experience integrating KMP/KMM with Android and iOS.
• Experience with expect/actual patterns or native interop, REST APIs, mobile performance, and scalability.
• Experience building offline-capable apps with local persistence, caching, and data synchronization.
• Familiarity with CI/CD, Git, and mobile build and distribution workflows; experience mentoring peers or junior engineers.
• A bachelor's degree in computer science, computer engineering, or a related field.
• Exposure to .NET MAUI, Xamarin, or Flutter is an added advantage.

Performance objectives

• Within 30 days, learn the applications and their technical implementations and approve a first merge request through peer review.
• Within three months, deliver a first feature to production, ramp up on code and workflows, and support build/deployment automation and feature flagging.
• Within 12 months, contribute to on-time feature and bug-fix delivery, own key components, support improvements, participate in architecture and reviews, and document practices while mentoring newer team members.

Work style and values

Application review

• The employer may use AI tools to organize, summarize, and analyze candidate materials; hiring decisions remain with the hiring team.