Staff Android Engineer — Platform, AI, & Scalable Apps

Walmart; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

Stock Purchase Plan

401(k)

Live Better U educational benefits

Paid time off

Job summary

Walmart is hiring an experienced Staff Software Engineer - Android in Sunnyvale, CA. You will lead design and development of complex Android applications and platform components, define architecture standards, and own large initiatives from concept to production.

You will mentor teams and drive alignment across mobile, backend, and product partners. The role emphasizes scalable design, performance, observability, and security, with a focus on AI/ML-enabled features and best practices.

Qualifications

• Bachelor's degree in computer science, computer engineering, or related area with 4 years’ software engineering experience.
• Alternatively, 6 years’ experience in software engineering without a degree.

Responsibilities

• Lead design and development of complex Android apps and shared mobile platform components.
• Define and drive modern Android architecture standards (Kotlin, Jetpack Compose, MVVM).
• Own large initiatives from concept to production, establish long-term Android strategy.
• Mentor engineers and influence across mobile, backend, and product teams.
• Lead design reviews and translate business problems into scalable solutions.

Skills

Android

Kotlin

Jetpack

MVVM

CI/CD

APIs

Leadership

AI/ML

Education

Bachelor's degree in CS/CE or related field

4 years’ software engineering experience OR 6 years if no degree

Tools

Node.js

Rust

Go

GraphQL

Job description

Walmart is hiring an experienced Staff Software Engineer - Android in Sunnyvale, CA. You will lead design and development of complex Android applications and platform components, define architecture standards, and own large initiatives from concept to production.

You will mentor teams and drive alignment across mobile, backend, and product partners. The role emphasizes scalable design, performance, observability, and security, with a focus on AI/ML-enabled features and best practices.