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PinterestPinterestSan Francisco, CA

Sr. Software Engineer, Android

Build and scale Android features for Pinterest's consumer app. Partner with product, design, and backend teams from ideation through release. Requires 5+ years of Android experience in Kotlin/Java.

150k – 308k
Remote5+ YOEAndroid Engineering

About the role

What you’ll do:

  • Build out Pinner-facing frontend features in Android to power the future of inspiration on Pinterest
  • Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
  • Partner with design, product, and backend teams to build end to end functionality
  • Put on your Pinner hat to suggest new product ideas and features
  • Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
  • Grow as an engineer 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:

  • Deep understanding of Android development and best practices in Kotlin and/or Java, e.g. Activity Lifecycle, memory management, etc.
  • 5+ 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

AndroidKotlinJavaActivity LifecycleMemory ManagementAutomated TestingA/B TestingAI Tools
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