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 for real-time decisioning, entity resolution, agentic AI-driven fraud analysis, and human-in-the-loop case management, focusing on delivering high-quality distributed systems and integrating AI/ML capabilities into production workflows in a low-latency, high-scale environment. The role involves developing abuse detection platforms, contributing to policy engines, building entity resolution systems, enhancing case management tools, and working closely with data scientists and product managers to drive platform services. You will also own the software lifecycle from design to deployment, collaborate across teams for real-time decision integration and shared infrastructure, and promote engineering excellence through mentorship and continuous improvement of system scalability and performance. Strong experience in distributed systems, proficiency in Java, Python, or similar languages, and familiarity with ML concepts are essential, along with a background in fraud detection and risk management.
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
Ranking
What you'll do
Develop platforms for real-time abuse detection across various fraud types.
Contribute to policy engines for dynamic decision-making in runtime environments.
Build entity resolution systems to detect coordinated abuse patterns efficiently.
Integrate AI-driven workflows and agentic systems for advanced fraud analysis.
Design, build, test, deploy, and operate services throughout the software lifecycle.
Implement observability, monitoring, and reliability best practices in production systems.
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 tools.
Market check
Salary context
This
$143,000–$286,000
range sits above
88%
of similar postings on FindRole.
Peer median band
$128,100–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,000–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
495 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 487 roles with salary data.
(Usa) Isd Office - Dgtc Ar Bentonville Home Office, US31 days ago
$110,000–$220,000
PowerShell
Infrastructure as Code (IaC)
Active Directory (AD)
LDAP
Kerberos
Replication
Virtualization platforms
Group Policy Objects (GPO)
Access Control Models (RBAC)
Security protocols
Networking fundamentals
Windows operating system troubleshooting
High availability design
Capacity planning