below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$165,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$190k
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.
(USA) Principal, Software Engineer
As a Principal Engineer in the Fraud and Risk platform, you will join the Inkiru team to define and drive the architecture of next-generation fraud prevention systems. You will lead the design of platforms combining real-time decisioning, entity intelligence, agentic AI, and human-in-the-loop workflows. Your daily responsibilities include architecting entity resolution and graph intelligence systems, designing AI-native systems for automated fraud analysis, and developing explainability frameworks for fraud decisions. You will utilize expertise in distributed systems, microservices architecture, and high-throughput architectures to operationalize ML models at scale. The role focuses on solving complex fraud and risk problems by ensuring high availability, reliability, and scalability across Gateway, Platform, and Data Science teams to provide rapid insights and secure shopping experiences.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Define the architecture for next-generation fraud and risk prevention platforms at massive scale.
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 fraud analysis and reasoning.
Develop patterns for integrating ML models and AI agents into production systems.
Lead the development of explainability frameworks for fraud decisions.
Own the cross-system strategy to align architecture across Gateway, Platform, and Data Science teams.
Ensure all systems meet strict requirements for latency, reliability, and scalability.
What we're looking for
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering or related area.
Option 2: 7 years’ experience in software engineering or related area.
Proven track record of architecting and scaling large distributed systems.
Deep expertise in system design, platform engineering, and microservices architecture.
Strong experience with real-time decision systems and high-throughput architectures.
Experience architecting systems that operationalize ML models at scale.
Strong understanding of ML-driven decisioning systems and tradeoffs (rules vs models).
Familiarity with fraud/risk systems, identity systems, or trust & safety domains.
Experience with entity resolution, graph systems, or behavioral analytics (preferred).
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area (preferred).
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies (preferred).
Cloud-native Architecture
Distributed Systems
AI/ML
CI/CD
Platform Engineering
Real-time Data Processing
Observability
Model-driven Design
AI Agents
WCAG) 2.2 AA
Python
Java
C++
AI/ML
Cloud-native Architecture
Distributed Systems
CI/CD
Platform Engineering
Software Development Lifecycle
Monitoring
Incident Management
Real-time Data Processing
WCAG) 2.2 AA
AI/ML
Cloud-Native
Distributed Systems
CI/CD
Platform Engineering
Real-time Data Processing
Model-driven Design
AI Agents
Software Development Lifecycle
WCAG) 2.2 AA