Position Summary...What you'll do...As a Staff Engineer in Walmart's Fraud & Risk platform, you will build and scale intelligent systems that detect, prevent, and explain fraud across Walmart's ecosystem.
You will work on next-generation platforms spanning real-time decisioning, entity resolution, agentic AI-driven fraud analysis, and human-in-the-loop case management.
This is a hands-on role focused on delivering high-quality distributed systems and integrating AI/ML capabilities into production workflows in a low-latency, high-scale environment.
What you'll do:Build End-to-End Fraud & Risk Systems - Develop platforms for real-time abuse detection (card testing, checkout fraud, signup abuse, offer exploitation)
- Contribute to policy engines for dynamic, runtime decisioning
- Build entity resolution systems to detect coordinated abuse patterns
- Enhance case management systems for investigator workflows
Integrate AI/ML into Production Systems - Work closely with Data Scientists to productionize ML models
- Integrate AI-driven workflows and agentic systems for fraud analysis
- Build systems that support decision explainability and feedback loops
Own the Software Lifecycle - Design, build, test, deploy, and operate services end-to-end
- Implement observability, monitoring, and reliability best practices
- Improve developer productivity through tooling and platform enhancements
Collaborate Across Teams - Partner with Gateway teams for real-time decision integration
- Work with Platform teams on shared infrastructure and services
- Align with Data Science teams on model integration and iteration
Drive Engineering Excellence - Participate in design reviews and contribute to architecture decisions
- Mentor engineers and promote strong engineering practices
- Continuously improve system scalability, performance, and maintainability
What you'll bring: - Strong experience building distributed systems and backend platforms at scale
- Proficiency in one or more: Java, Python, JavaScript/TypeScript, or similar
- Experience with real-time systems, event-driven architectures, and microservices
- Experience working with or integrating ML models into production systems
- Familiarity with ML concepts (classification, anomaly detection, ranking)
- Exposure to fraud, risk, identity systems, or abuse detection is a strong plus
- Understanding of data modeling, streaming systems, and low-latency architectures
- Strong problem-solving skills and ability to deliver scalable solutions
- Ability to collaborate effectively across engineering, product, and data science teams
Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
The annual salary range for this position is $143,000.00 - $286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
