Staff Software Engineer

Walmart

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$143,000–$286,000 / yr
Employment
Full-time
Posted
146 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $214k
$126k $303k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $176,200–$230,425 — the blue band above. At the midpoint, this role pays about $214k versus about $203k 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

The Staff, Software Engineer joins the Platform Engineering team to deliver critical infrastructure, tooling, and ML frameworks. This role involves driving the full software development lifecycle, including coding, testing, CI/CD deployment, and observability. You will build AI-driven applications and intelligent automation features, integrating AI agents and ML components that support multi-step reasoning. Key responsibilities include conducting system design reviews, mentoring engineers, and translating complex user problems into actionable technical requirements. You will utilize a diverse technology stack including JavaScript, TypeScript, Python, Java, Rust, Dart, and C++, while applying cloud-native architecture principles like microservices and containers. The work focuses on enhancing engineering productivity, ensuring system scalability, and maintaining high standards of software excellence within a complex technical environment to support broader platform goals.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Deliver platform capabilities including infrastructure, tooling, and ML frameworks like CI/CD and model runtimes.
  • Apply cloud-native architecture principles to ensure system scalability, resilience, and agility.
  • Drive the full software development lifecycle including coding, testing, deployment, and observability.
  • Build AI-driven applications and integrate ML components using languages like Python, Java, and Rust.
  • Conduct system design reviews to validate feasibility and ensure alignment with architectural best practices.
  • Convert complex user problems from stakeholders into actionable technical requirements and well-scoped work units.
  • Mentor engineers and junior leaders while influencing architectural decisions and technical standardization.
  • Define and track success metrics using data-driven engineering practices to 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 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).
  • Experience building AI-driven applications and intelligent automation using JavaScript, TypeScript, Python, Java, Rust, Dart, and C++.
  • Experience with cloud-native architecture principles including microservices, containers, and automation.
  • Experience with CI/CD deployment, observability, monitoring, and infrastructure/tooling development.
  • Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies (preferred).
  • Experience integrating AI agents and ML components that support multi-step reasoning and automation (preferred).

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