Senior Backend Engineer - FinTech, High-Scale Systems

Affirm

Las Vegas (NV)

Remote

USD 173.000 - 255.000

Vollzeit

vor 23 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Equity rewards
Health and wellness stipends
Medical, dental, vision coverage for你?

Zusammenfassung

Affirm is building the money movement platform behind our card products. This backend role focuses on high-throughput, distributed services, robust APIs, and data models to power real-time approvals, origination, and refunds.

Work with product, data science, and engineering to shape design decisions, mentor engineers, and ensure long-term reliability at scale. Remote-first with flexibility within the United States.

Qualifikationen

  • 5+ years of software development or engineering experience.
  • Strong system design and architecture knowledge.
  • Excellent communication and leadership capabilities.
  • Proficiency in Python, Kotlin or similar languages.
  • Experience with cloud platforms and containerization, plus RESTful APIs.
  • Knowledge of SQL/NoSQL databases and data modeling.
  • Bachelor’s degree or equivalent practical experience.

Aufgaben

  • Lead end-to-end system design of large-scale, high-availability services.
  • Build robust APIs and data models for micro-services and event-driven architectures.
  • Collaborate with Product, Analytics, Design, Legal, and Accounting on requirements.
  • Analyze issues, optimize code, and drive long-term robustness and scalability.
  • Mentor junior engineers and lead technical design reviews.

Kenntnisse

System design
Leadership
Communication
Analytical thinking
Python / Kotlin
Cloud platforms
Docker / Kubernetes
RESTful APIs
Database knowledge

Ausbildung

Bachelor’s degree or equivalent

Tools

AWS
Azure
Google Cloud
Docker
Kubernetes

Jobbeschreibung

Affirm is building the money movement platform behind our card products. This backend role focuses on high-throughput, distributed services, robust APIs, and data models to power real-time approvals, origination, and refunds.

Work with product, data science, and engineering to shape design decisions, mentor engineers, and ensure long-term reliability at scale. Remote-first with flexibility within the United States.

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