Mid-Level Android Engineer — Kotlin, Jetpack Compose

Avenga; Argentina; Presencial; ARS 1.400.000 - 2.400.000; Jornada completa

Descripción de la vacante

Avenga is seeking a Middle Android Engineer in Argentina to design, implement, and scale native mobile apps using Kotlin, Jetpack Compose, and modern patterns. You will work on multi-module architectures, integrate REST services with Retrofit, and maintain high code quality through tests and CI/CD pipelines.

You’ll apply AI-powered tools like GitHub Copilot and Cursor to improve coding efficiency and unit test coverage, while delivering features end-to-end with an autonomous mindset.

Formación

• Proficient in Kotlin with coroutines and Flow.
• Strong Jetpack Compose UI skills for dynamic, declarative interfaces.
• Experience with MVVM/MVI patterns and Clean Architecture.

Responsabilidades

• Design, implement, and maintain native Android components using Kotlin and Jetpack Compose.
• Build scalable, multi-module Android applications following Clean Architecture and Google best practices.
• Integrate RESTful services with Retrofit and OkHttp; manage API payloads efficiently.
• Write comprehensive unit tests and maintain code quality via static analysis and reviews.
• Configure Gradle builds and CI/CD pipelines for automated deployment.
• Leverage AI tools like Copilot and Cursor to accelerate development and testing.
• Troubleshoot performance bottlenecks and optimize memory usage.

Conocimientos

Kotlin

Jetpack Compose

MVVM/MVI

Dagger Hilt

REST/Retrofit

OkHttp

JSON serialization

Unit testing

Static code analysis

Git workflows

Gradle

CI/CD

AI tools

GitHub Copilot

Cursor

Herramientas

ktlint

Detekt

SonarQube

JaCoCo

Descripción del empleo

Avenga is seeking a Middle Android Engineer in Argentina to design, implement, and scale native mobile apps using Kotlin, Jetpack Compose, and modern patterns. You will work on multi-module architectures, integrate REST services with Retrofit, and maintain high code quality through tests and CI/CD pipelines.

You’ll apply AI-powered tools like GitHub Copilot and Cursor to improve coding efficiency and unit test coverage, while delivering features end-to-end with an autonomous mindset.