This role pays more than
62%
of similar roles. Most pay
$189,562–$238,250
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$214k
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.
As a Staff, Software Engineer, you will join a team developing next-generation applications and analytics tools for a predictive intelligence platform. You will lead the design and delivery of scalable platform capabilities, including infrastructure, tooling, and ML frameworks. Your daily responsibilities involve leading the full software development lifecycle, conducting system design reviews, mentoring engineers, and building AI-driven applications with automation features. You will apply cloud-native architecture principles to ensure resilient systems while collaborating with data scientists and business partners. The role requires proficiency in Java and Python for AI/ML integration, along with expertise in microservices, containers, API design, and CI/CD deployment. You will solve complex technical problems by translating business needs into maintainable software that provides real-time predictive analysis and enhances developer productivity.
What does a Software Engineer earn in California?
Median $214000 from 1006 postings across 72 companies.
Design and deliver scalable platform capabilities including infrastructure, tooling, and ML frameworks.
Apply cloud-native architecture principles to build resilient and agile systems.
Lead the full software development lifecycle including coding, testing, deployment, and maintenance.
Conduct system design reviews to validate feasibility and ensure architectural best practices.
Build AI-driven applications by integrating ML components and automation features.
Mentor engineers and influence technical decisions through documentation and knowledge sharing.
Collaborate with stakeholders to define technical requirements and track success metrics.
What we're looking for
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).
Proven expertise in cloud-native architecture, including microservices, containers, and automation to build scalable and resilient systems.
Strong proficiency in Java and other programming languages such as Python for AI/ML integration and software development.
Experience leading full software development lifecycle activities, including coding, testing, CI/CD deployment, and maintenance.
Ability to conduct system design reviews and apply software design patterns to ensure quality and maintainability.
Skilled in API design, software prototyping, and debugging to deliver robust platform capabilities.
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
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
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
AI
Software Development Lifecycle
System Design
Observability
Monitoring
Data Science
WCAG
AI/ML
Machine Learning
Cloud-native
Microservices
Containers
System Design
Real-time Data Processing
Software Development Lifecycle
Testing
Monitoring
Automation
WCAG) 2.2 AA