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

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.

About Team: 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.
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

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations.

We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience fo