Drimva

Snap

Software Engineer, Android, Level 4

$133K–$235K

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
2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or 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; alternatively, 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 scalable services, delivering smooth, stable user experiences while maintaining code quality, security, and production readiness.

What you'll do

  • Develop features from design through implementation and launch; evaluate technical tradeoffs and collaborate with design on UI and infrastructure practices.
  • Build and improve mobile products and scalable services, using AI tools and high-velocity workflows.
  • Perform code reviews to ensure code quality.

What they ask for

  • Experience with Android application development.
  • Ability to use Kotlin, Java, RxJava, and Dagger.
  • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience.
  • 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field.

Nice to have

  • Experience working with large-scale customer-facing mobile application.

Pay

$157,000-$235,000 annually (USD, base salary); $149,000-$223,000 annually (USD, base salary); $133,000-$200,000 annually (USD, base salary)

Tools

Kotlin, Java, RxJava, Dagger

AI focus

Use AI tools to streamline development and design and ship scalable services; critically audit generated output for architecture, performance, and security, and adapt to evolving AI systems and tools.

Model-written summary · the original posting is authoritative

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