Staff Android Platform Engineer — AI-Driven, Cross-Platform Leader

Cash App

San Francisco (CA)

On-site

USD 210,000 - 270,000

Full time

3 days ago
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Job summary

Cash App is seeking a Staff Android Engineer to scale its consumer platform. You will own the Android platform infrastructure, modularization, DI, navigation, and app lifecycle, while collaborating with iOS, Web, and backend teams to deliver high-quality cross-platform experiences.

You will lead AI-native engineering initiatives, evaluate AI tools, embed AI capabilities, mentor engineers, and shape platform standards across the organization, influencing thousands of engineers and millions of

Qualifications

  • 10+ years of Android development experience with organizational scope.
  • BA/BS degree in Computer Science or equivalent practical experience.
  • Proven organizational leadership.
  • AI-native development practice and evolving point of view on AI leverage.
  • Strong systems thinking and ability to design simple, scalable solutions.
  • Exceptional communication and ability to align across stakeholders.

Responsibilities

  • Build and own Android platform infrastructure (modularization, DI, navigation, lifecycle).
  • Design and deliver shared libraries and frameworks used by multiple teams.
  • Drive Android architecture forward with high-leverage decisions.
  • Invent and open source platform tech where beneficial.
  • Develop AI-powered capabilities and oversee rapid experimentation.
  • Mentor engineers and raise the technical floor across the Android org.

Skills

Android development
Leadership
AI-native development
Systems thinking
Communication

Education

BA/BS in Computer Science

Tools

Kotlin
Jetpack Compose
Gradle

Job description

Cash App is seeking a Staff Android Engineer to scale its consumer platform. You will own the Android platform infrastructure, modularization, DI, navigation, and app lifecycle, while collaborating with iOS, Web, and backend teams to deliver high-quality cross-platform experiences.

You will lead AI-native engineering initiatives, evaluate AI tools, embed AI capabilities, mentor engineers, and shape platform standards across the organization, influencing thousands of engineers and millions of

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