AI-Driven Mobile App Performance Engineer

Amazon Inc.

Seattle (WA)

On-site

USD 144,000 - 194,000

Full time

4 days ago
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Job summary

Amazon Inc. in Seattle, WA is seeking a Software Development Engineer for App Performance in the Mobile App Foundations group.

You will help ensure the Amazon Shopping apps start fast, respond instantly, and stay smooth as teams add features across iOS and Android. You will design and optimize startup, latency, and runtime paths, build tooling to catch regressions, and explore AI-assisted approaches to diagnose issues at scale.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems.
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.

Responsibilities

  • Design, implement, and support robust and stable solutions across Amazon's mobile shopping apps.
  • Profile and optimize app startup, latency, and runtime performance across critical customer code paths.
  • Build systems and tooling that automatically catch performance regressions before they reach millions of mobile Shoppers.
  • Develop systems that support AI-assisted mobile development at scale, exploring approaches like automated anomaly detection and root-cause diagnosis.
  • Partner with dozens of teams across Amazon to improve performance-critical code paths and remove bottlenecks.
  • Help raise the bar for mobile development as we change the way we develop mobile apps.

Skills

Software development
Design/architecture
OO design (Java/C#/C++)

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon Inc. in Seattle, WA is seeking a Software Development Engineer for App Performance in the Mobile App Foundations group.

You will help ensure the Amazon Shopping apps start fast, respond instantly, and stay smooth as teams add features across iOS and Android. You will design and optimize startup, latency, and runtime paths, build tooling to catch regressions, and explore AI-assisted approaches to diagnose issues at scale.

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