Staff Software Engineer

Walmart

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Salary: $143,000–$286,000 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $214k

$126k $303k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $170,712–$214,500 — the blue band above. At the midpoint, this role pays about $214k versus about $193k 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 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Staff Software Engineer

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JOB TITLE: (USA) Staff, Software Engineer As a Staff Software Engineer, you will join a team dedicated to delivering reliable software solutions by integrating expertise in software development, DevOps, and solution design. You will lead the design, development, and deployment of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. Your daily responsibilities include driving the full software development lifecycle, applying cloud-native architecture principles, conducting system design reviews, and mentoring engineers. You will build AI-driven applications and integrate machine learning components to enhance automation. The role requires proficiency in technologies such as Spring Boot, JavaScript, Python, Java, and C++. You will solve complex business problems by translating requirements into technical solutions while ensuring high-quality, maintainable code through CI/CD deployment, observability, and performance monitoring within a cloud-native environment.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

Spring Boot Python Java JavaScript C++ Cloud-native Architecture Microservices Containers CI/CD DevOps AI/ML System Design API Design Observability Software Development Lifecycle WCAG) 2.2 AA

What you'll do

Design and deploy scalable platform capabilities including infrastructure, tooling, and machine learning frameworks.
Drive the full software development lifecycle including coding, testing, deployment, monitoring, and maintenance.
Apply cloud-native architecture principles to build scalable, resilient, and agile systems.
Conduct system design reviews to ensure technical quality and alignment with architectural standards.
Build AI-driven applications and integrate machine learning components to enhance automation.
Mentor engineers and influence technical decisions to promote engineering best practices.
Translate complex business problems into actionable technical requirements for stakeholders.
Utilize data-driven approaches to define success metrics and optimize development processes.

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.
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 (preferred).
Proven expertise in cloud-native architecture, including microservices, containers, and automation.
Strong proficiency in software design patterns, API design, and software prototyping.
Experience driving full software development lifecycle activities, including coding, testing, CI/CD deployment, and observability.
Ability to integrate AI/ML components using languages such as JavaScript, Python, Java, or C++.
Demonstrated skills in DevOps engineering and platform tooling to enhance engineering productivity.

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