Software Engineer, X Money - Fraud, Payments
About The Position
We’re looking for an exceptional Software Engineer to focus on Fraud Engineering for a new payments platform being built at X which serves 600 million+ monthly users. This is a high-priority role responsible for protecting users and the platform from fraud, abuse, and risk. You’ll play a key role in designing and implementing systems to detect, prevent, and mitigate fraud in real time—at scale. Working at the intersection of security, distributed systems, and product engineering, you'll help build trusted payments infrastructure from the ground up.
Requirements
- Experienced: 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
- Skilled in distributed systems: You’ve built resilient, high-throughput systems that operate under real-time constraints
- Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
- Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
- Builder mentality: You’re excited by zero-to-one problems and proven ability to thrive in fast-paced environments. You are willing to work hard.
Nice To Haves
- Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
- Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
- Experience in fintech, trust & safety, or adversarial system design
- Comfortable working in a zero-to-one environment with rapid iteration
Responsibilities
- Design and implement fraud detection and prevention systems that operate at global scale and low latency
- Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
- Collaborate with product, compliance, trust & safety, and infrastructure teams to ensure a secure and seamless user experience
- Monitor and analyze fraud trends, and proactively respond to new attack vectors
- Define engineering standards around observability, reliability, and rapid response in fraud-related systems
Benefits
- equity
- comprehensive medical, vision, and dental coverage
- access to a 401(k) retirement plan
- short & long-term disability insurance
- life insurance
- various other discounts and perks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
