Backend Software Engineer, Trust & Safety (Anti-Fraud)

Highlights

• Own backend turning ML fraud signals into protections for payments and accounts.
• Integrate risk checks into credit usage and generation flows with safe fallbacks.
• Ship enforcement services and operator tools with audit trails in days.

What they offer

• Competitive base in USD
• Equity
• Relocation support

Ideal candidate

A backend owner who thrives on ambiguous problems and ships reliable protections fast. You collaborate with ML and ops, learn quickly, and care about stopping fraud without harming legitimate customers.

Requirements

• Shipped a difficult, ambiguous backend problem to production and can explain decisions and results
• Build reliable backend services with APIs, data models, queues, transactions and idempotency
• Integrate external services and debug failures across request and event lifecycle
• Work autonomously, cut scope to test ideas, and persist through hard problems
• Partner with ML, analytics and operations to turn risk needs into backend behavior
• Learn unfamiliar systems quickly and use operator and customer feedback to improve controls
• Share knowledge and ownership so others can operate and extend your work