Android Developer

Job Description

• 5+ years of professional Android development experience.
• Languages & Tools: Proficient in Java and Kotlin (with a preference for Kotlin) using Android Studio.
• Core Competencies:
• Strong grasp of object-oriented programming, algorithms, and data structures.
• Expertise in multithreading, memory management, and performance optimization (profiling and tuning).

UI/UX:

• Extensive experience with Jetpack Compose for building modern, responsive UIs.
• Proven ability to create pixel-perfect designs and implement UX best practices for intuitive user experiences.

Architecture & Design Patterns:

• Deep understanding of modern Android architectures (MVVM, MVP, Clean Architecture) with hands-on experience refactoring legacy codebases.
• Familiarity with common design patterns and best practices to ensure scalable and maintainable code.

Dependency Injection & Libraries:

• Experience with dependency injection frameworks, including Dagger and Hilt, to create modular and testable codebases.

Testing:

• Strong background in unit testing with high coverage, designing robust test cases, and familiarity with UI testing frameworks.

Mapping, Networking & Data Storage:

• Proven experience integrating Google Maps and implementing marker clustering for enhanced geolocation features.
• Proficient with Firebase and SQLite for data management.
• Skilled in working with RESTful web services (using GSON/Jackson), Retrofit/OKHttp, and WebSocket services for asynchronous communication.

Version Control & CI/CD:

• Proficient with Git & GitHub.
• Experienced in setting up and maintaining continuous integration systems using Jenkins and GitHub CI.

Collaboration & Project Management:

• Familiar with agile project management tools (e.g., JIRA) and collaboration platforms (e.g., Microsoft Teams).
• Excellent verbal and written English communication skills.

AI Tools & Developer Productivity:

• Experience using AI-powered programming tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate development, code review, documentation, and debugging.
• Interest in exploring new ways to leverage AI for productivity and innovation.

Soft Skills:

• A highly efficient contributor in dynamic environments.

Bonus Skills:

• Strong knowledge of the Gradle build system.
• Advanced experience in setting up CI/CD pipelines, particularly with Jenkins.
• Familiarity with integrating AI/ML features to enhance application efficiency and user experience.
• Ability to create Python scripts for automating developer processes, project setup, and integration with CI systems.