Senior Backend Engineer, Data Platform & Systems Lead

Affirm

Chicago (IL)

In loco

USD 120.000 - 160.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Health Insurance
Dental Insurance
Vision Insurance
Tech Spending Stipends
Wellness Stipends
Flexible Time Off
ESPP

Descrizione del lavoro

Affirm is seeking an experienced backend leader to develop and scale data platforms supporting real-time loan origination and reporting. You will mentor engineers and partner with product and design teams to tackle complex technical challenges.

Required is 4+ years in backend systems with Python or Kotlin, plus expertise in distributed systems using AWS, MySQL, and Kubernetes. You will drive scalable data pipelines with Spark or Airflow and hold quarterly goals.

Competenze

  • 4+ years of backend experience with Python or Kotlin.
  • Experience with distributed systems using AWS, MySQL and Kubernetes.
  • Deep experience with scalable data pipelines using Spark or Airflow.

Mansioni

  • Lead development and scaling of data platforms for real-time loan origination and financial reporting.
  • Mentor engineers and collaborate with product and design teams to solve complex technical problems.
  • Own quarterly goals and drive technical excellence across backend systems.

Conoscenze

Backend Development
Python
Kotlin
AWS
MySQL
Kubernetes
Spark
Airflow
Distributed Systems
Data Pipelines
Batch Processing
System Design
Code Review
Technical Leadership
API Design
Scalability

Formazione

Bachelor's degree in Computer Science or related field

Descrizione del lavoro

Affirm is seeking an experienced backend leader to develop and scale data platforms supporting real-time loan origination and reporting. You will mentor engineers and partner with product and design teams to tackle complex technical challenges.

Required is 4+ years in backend systems with Python or Kotlin, plus expertise in distributed systems using AWS, MySQL, and Kubernetes. You will drive scalable data pipelines with Spark or Airflow and hold quarterly goals.

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