This role pays less than
78%
of similar roles. Most pay
$201,600–$254,500
— the shaded band above.
At the midpoint, this role pays about
$198k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
333 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 268 roles with salary data.
The Staff, Software Engineer - Backed/ML joins the W+ team to design and develop scalable, cloud-native AI-powered systems. This role involves leading technical execution across the full software development lifecycle, including design, coding, testing, deployment, and maintenance. You will build platform capabilities such as infrastructure, tooling, and ML frameworks while integrating AI-driven applications and automation features. Key responsibilities include mentoring engineers, conducting system design reviews, and influencing architectural decisions to ensure reliability. Required skills include experience with full stack software development, CI/CD deployment, observability, and the Android SDK, Services, and background processing. The work focuses on solving complex problems within the payments industry, specifically utilizing AI agents and reliability engineering to optimize system scalability and operational performance.
What does a Software Engineer earn in Washington?
Median $208250 from 395 postings across 38 companies.
Deliver platform capabilities including infrastructure, tooling, and ML frameworks to ensure scalable and resilient systems.
Lead full software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance.
Apply cloud-native architecture principles to enhance system agility and performance.
Conduct system design reviews to validate quality and alignment with architectural standards.
Build AI-driven applications integrating ML components and automation features.
Mentor engineers and influence technical decisions to promote engineering best practices.
Collaborate with stakeholders to define technical requirements and track success metrics.
Drive continuous improvement through innovation, error correction, and knowledge sharing.
What we're looking for
7+ years of professional experience in full stack software development including native mobile, web front end, and back end.
Experience with the full software development lifecycle, including coding, testing, CI/CD deployment, observability, and maintenance.
Previous knowledge of designing and developing advanced applications for the Android platform.
Experience with Android SDK, Services, and various methods of background processing.
Demonstrated technical leadership, mentorship, and collaboration across cross-functional teams.
Data-driven decision-making skills to define metrics and optimize engineering processes.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
Option 2: 6 years’ experience in software engineering or related area.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area (preferred).
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies (preferred).
AI/ML
Machine Learning
Cloud-native
Microservices
Containers
System Design
Real-time Data Processing
Software Development Lifecycle
Testing
Monitoring
Automation
WCAG) 2.2 AA
Python
JavaScript
C++
Cloud-native Architecture
Microservices
Containers
CI/CD
AI
ML
API Design
Software Design Patterns
System Design
Debugging
WCAG) 2.2 AA
Cloud-native Architecture
Microservices
Containers
CI/CD
API Design
ML Frameworks
AI
DevOps
Observability
Software Design Patterns
System Design
Software Development Lifecycle
Data-driven Decision Making
WCAG) 2.2 AA
Cloud-native Architecture
Microservices
Containers
AI
ML
CI/CD
DevOps
API Design
Software Design Patterns
Observability
System Design
Software Development Lifecycle
WCAG) 2.2 AA