(USA) Staff, Software Engineer - Fraud and Risk Platform

Walmart

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $143,000–$286,000 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $214k

$126k most similar roles pay here $303k

This role pays more than 67% of similar roles. Most pay $161,187–$222,000 — the shaded band above. At the midpoint, this role pays about $214k versus about $192k 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 191 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 184 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Staff, Software Engineer - Fraud and Risk Platform

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As a Staff Engineer in Walmart’s Fraud & Risk platform, you will build and scale intelligent systems to detect and prevent fraud across Walmart’s ecosystem. You will work on next-generation platforms that include real-time decisioning, entity resolution, agentic AI-driven fraud analysis, and human-in-the-loop case management. This hands-on role involves delivering high-quality distributed systems and integrating AI/ML capabilities into production workflows in a low-latency, high-scale environment. Key responsibilities include developing end-to-end fraud detection systems, contributing to policy engines for dynamic decisioning, building entity resolution systems, enhancing case management tools, and collaborating with data scientists and product managers to drive platform services. You will need strong experience in distributed systems, proficiency in languages like Java or Python, expertise in real-time systems and microservices, and familiarity with ML concepts such as classification and anomaly detection. The role requires a deep understanding of fraud prevention at scale and the ability to work effectively across various engineering teams.

Skills

Python Java JavaScript TypeScript Kubernetes Docker AWS CI/CD ML models Microservices Event-driven architectures Observability Monitoring Data modeling Streaming systems Anomaly detection Classification RFID PostgreSQL Mentorship

What you'll do

Develop platforms for real-time abuse detection across various fraud types.
Contribute to policy engines enabling dynamic runtime decision-making.
Build entity resolution systems to detect coordinated abuse patterns.
Integrate AI-driven workflows and agentic systems for advanced fraud analysis.
Design, build, test, deploy, and operate services end-to-end in production.

What we're looking for

Extensive experience building large-scale distributed systems and backend platforms.
Proficiency in Java, Python, JavaScript/TypeScript or similar programming languages.
Expertise in real-time systems, event-driven architectures, and microservices integration.
Experience integrating machine learning models into production environments.
Strong understanding of ML concepts including classification, anomaly detection, and ranking.
Familiarity with fraud, risk management, identity systems, and abuse detection preferred.

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