(USA) Principal, 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 $194k

This role $214k

$126k most similar roles pay here $303k

This role pays more than 68% of similar roles. Most pay $165,000–$223,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $194k for comparable roles.

Based on 239 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) Principal, Software Engineer - Fraud and Risk Platform

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As a Principal Engineer in Walmart’s Fraud and Risk platform, you will lead the architecture and design of next-generation fraud prevention systems at massive scale, combining real-time decisioning, entity intelligence, agentic AI, and human-in-the-loop workflows. You will define system designs for real-time fraud detection, architect entity resolution and graph intelligence systems, and develop explainability frameworks for fraud decisions while aligning strategies across Gateway, Platform, and Data Science teams to ensure scalability and reliability. The role demands deep expertise in distributed systems architecture, microservices, and high-throughput architectures, along with experience in operationalizing ML models at scale within the complex domain of fraud and risk management.

Skills

Kubernetes Docker AWS CI/CD Python PostgreSQL Redis GraphQL Apache Kafka Prometheus Grafana Terraform Microservices Entity Resolution Graph Systems Agentic AI Real-time Decisioning MLOps

What you'll do

Lead system design for real-time fraud detection and policy enforcement.
Architect entity resolution and graph intelligence systems for fraud prevention.
Design agentic AI platforms for automated analysis and reasoning in fraud cases.
Define integration patterns for real-time and batch systems across teams.
Drive architectural standards and engineering best practices within the team.
Guide complex technical decisions and establish long-term vision aligned with business goals.

What we're looking for

Proven experience in architecting and scaling large distributed systems.
Deep expertise in system design, platform engineering, and microservices architecture.
Strong background in real-time decision systems and high-throughput architectures.
Experience operationalizing ML models at scale with a focus on explainability.
Familiarity with fraud/risk systems, identity systems, or trust & safety domains.
Ability to drive technical alignment and influence across multiple teams.

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