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

Walmart • Sunnyvale, CA

1d • Onsite

About The Position

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. The Inkiru team's mission is to detect and prevent Fraud in real time and enable a safe shopping experience for all our customers online and in-store. We are a team of passionate Engineers, Data scientists and Product managers who love to challenge each other but work together to build a platform to find the proverbial needle in a haystack. As an engineer on the team, you will help build systems that can process data at the scale of Walmart to derive insights in milliseconds that power lightning-fast detection of fraudsters. You will have the opportunity to work closely with our data scientists, Product Managers, business partners and systems engineers to drive the definition and implementation of platform services, applications and analytics tools for our predictive intelligence platform.

Requirements

• 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)
• 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
• 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.
• OR 6 years’ experience in software engineering or related area.

Nice To Haves

• Exposure to fraud, risk, identity systems, or abuse detection is a strong plus
• 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
• Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• 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.

Responsibilities

• 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

Benefits

• Incentive awards for performance
• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• PTO
• Multiple health plans
• Competitive pay
• Performance-based bonus awards
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior