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PinterestPinterestUnited States

Sr. Software Engineer, Android

Build and maintain core Android frameworks and features for Pinterest's consumer app. Collaborate with PMs, designers, and backend engineers to drive app-wide improvements in architecture, performance, and developer experience.

Salary not listed
Hybrid4+ YOEAndroid Engineering

About the role

What you’ll do:

  • Support millions of users and enable colleagues by ensuring excellence in core pieces that are shared throughout the application
  • Identify app-wide challenges; propose, test, and ship solutions
  • Drive changes that improve the entire app such as modularization, implementing image/video loading, RTL text, dependency injection, and reusable UI components
  • Enable developers to work more effectively by improving app architecture, testing capabilities and release cycles
  • Solve hard-to-see user pain points that often affect the entire app such as performance, monitoring crash rates and solving user metric anomalies
  • Grow as a developer by working with world-class peers on varied and high impact projects
  • Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
  • Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

What we’re looking for:

  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience
  • Deep understanding of Android development and best practices in Kotlin and/or Java, e.g. Activity Lifecycle, memory management, etc.
  • 4+ years of industry Android application development experience, building consumer or business facing products
  • Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
  • Ability to keep up-to-date with new technologies to understand what should be incorporated
  • Strong collaboration and communication skills
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Skills

KotlinJavaAndroidActivity LifecycleMemory ManagementModularizationDependency InjectionImage/Video LoadingRtl TextReusable Ui Components
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