Job Description: Software Development Engineer (Android) — SDE I / SDE II
Position: Software Development Engineer — Android
Level: SDE I / SDE II
Role Overview
We are looking for an experienced Android Developer to join our engineering team as an SDE I / SDE II. The ideal candidate should have strong hands-on experience in building scalable, high-performance Android applications using Kotlin and modern Android development practices.
The candidate should be comfortable working with product, design, and backend teams to translate requirements and wireframes into reliable, user-friendly mobile experiences. Exposure to AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools is preferred.
Key Responsibilities
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Translate designs and wireframes into high-quality Android code.
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Design, build, and maintain high-performance, reusable, and reliable Kotlin code.
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Ensure the best possible performance, quality, and responsiveness of the application.
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Identify performance bottlenecks, debug issues, and fix bugs.
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Collaborate with cross-functional teams including product managers, designers, backend engineers, and QA.
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Follow modern Android development standards and contribute to clean, maintainable codebases.
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Use AI-assisted development tools, where appropriate, to improve productivity, code quality, debugging, and development workflows.
Required Skills and Experience
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Strong knowledge of Android SDK, different Android versions, and handling multiple screen sizes.
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Hands-on experience with Kotlin.
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Strong understanding of MVVM architecture.
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Experience with Jetpack Compose UI.
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Good understanding of Android UI design principles, patterns, and best practices.
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Experience with Coroutines, Flows, Ktor, OkHTTP, and API integration.
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Experience with local database technologies such as Room and SQLite.
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Familiarity with dependency injection frameworks such as Hilt or Koin.
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Proficient understanding of code versioning tools such as Git.
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Ability to write clean, scalable, maintainable, and testable code.
AI Exposure
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Hands-on exposure to AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools.
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Ability to use AI tools effectively for code generation, refactoring, debugging, test creation, and productivity enhancement.
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Awareness of best practices while using AI tools, including code review, validation, security, and maintainability.
Preferred Attributes
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Strong problem-solving and debugging skills.
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Ability to work in a fast-paced environment.
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Good communication and collaboration skills.
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Ownership mindset with attention to quality and performance.
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Willingness to learn and adopt modern Android and AI-assisted development practices.
