Drimva

Snap

Software Engineer, Android, Level 5

$178K–$313K

Los Angeles, California +4 · Full-time · Posted Oct 2, 2026

Location
Los Angeles, California
San Francisco, California
Palo Alto, California
New York, New York
Bellevue, Washington
Experience
6+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field plus 5+ years of post-grad software development experience; or a PhD in a relevant technical field plus 2 years of post-grad software development experience; or a PhD in a relevant technical field.
Education
Bachelor's degree in a relevant technical field such as computer science, or equivalent years of practical work experience; alternatives include a Master’s degree in a technical field or a PhD in a relevant technical field.

About the job

Build and launch Android features and products, focusing on smooth, stable user experiences and scalable, high-quality code.

What you'll do

  • Develop features from design through implementation and launch, making technical tradeoffs with design partners.
  • Build and improve Android products, with attention to user experience, stability, and appropriate UI and infrastructure practices.
  • Review code and use AI tools and high-velocity workflows while maintaining code correctness, security, and production quality.

What they ask for

  • Experience with Android application development.
  • Bachelor's degree in a relevant technical field or equivalent years of practical work experience.
  • Use Kotlin, Java, RxJava, Dagger, and other tools to build Android products.
  • Proficiency in or strong aptitude for using AI tools, including auditing generated output for architecture, performance, and security.

Nice to have

  • Kotlin and Android expertise.

Pay

$209,000-$313,000 annually (base salary); $199,000-$297,000 annually (base salary); $178,000-$266,000 annually (base salary)

Tools

Kotlin, Java, RxJava, Dagger, Android

AI focus

Use AI tools to streamline development and design and ship scalable services; assess generated output for architectural integrity, performance bottlenecks, and security risks.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)