Remote Staff Backend Engineer - Fraud Decisioning

Affirm, Inc.; Northern (KY); À distance; USD 204 000 - 264 000; Plein temps

Avantages offerts par ce poste

Health coverage for you and dependents

Employee stock purchase plan (ESPP)

Spending stipends for tech setup

Flexible time off

Résumé du poste

Affirm, Inc. is seeking a Staff Software Engineer for Backend Fraud Decisioning, fully remote in the United States. You will lead cross-functional initiatives, design robust fraud decisioning tools, and mentor engineers while influencing hiring decisions.

The role focuses on building scalable systems to protect customers and merchants, with a strong emphasis on data-driven risk evaluation. You will collaborate with Product, ML, Analytics, and Business teams to deliver high-quality solutions and

Qualifications

• 6–10+ years of software engineering with leadership responsibilities.
• Experience architecting, building, launching, coding and maintaining complex systems.
• Ability to collaborate with Product, ML, Analytics and Business teams.

Responsabilités

• Plan and execute large, cross-functional initiatives across the org.
• Write high-quality, maintainable code and design simple, robust solutions.
• Review others’ work to maintain high quality standards across teams.
• Lead and mentor engineers, giving context and ownership of components.
• Incorporate stakeholder needs, advocate ideas, and align voices.

Connaissances

Software architecture

Team leadership

Cross-functional collaboration

Mentoring engineers

System design

Hiring process

Formation

Bachelor's degree or equivalent

Description du poste

Affirm, Inc. is seeking a Staff Software Engineer for Backend Fraud Decisioning, fully remote in the United States. You will lead cross-functional initiatives, design robust fraud decisioning tools, and mentor engineers while influencing hiring decisions.

The role focuses on building scalable systems to protect customers and merchants, with a strong emphasis on data-driven risk evaluation. You will collaborate with Product, ML, Analytics, and Business teams to deliver high-quality solutions and