Senior Backend Engineer — Real-Time Data Platforms Lead

Affirm; San Jose (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Tech Spending Stipend

Health And Wellness Stipend

Flexible Time Off

Employee Stock Purchase Plan (ESPP)

Job summary

Affirm is seeking an experienced backend engineer to lead the development and scaling of data platforms for real-time loan origination and financial reporting. You will own quarterly goals, mentor engineers, and collaborate with product and design teams to solve complex technical problems.

The role requires 4+ years in backend systems with Python or Kotlin, plus expertise in AWS, MySQL, Kubernetes, and Spark or Airflow to build scalable data pipelines and robust services.

Qualifications

• 4+ years of backend experience in Python or Kotlin.
• Experience with distributed systems on AWS, MySQL, and Kubernetes.
• Proficiency with scalable data pipelines using Spark or Airflow.
• Bachelor's degree or equivalent experience.

Responsibilities

• Lead development and scaling of data platforms for real-time loan origination and financial reporting.
• Own quarterly goals and mentor engineers.
• Collaborate with product and design teams to solve complex technical problems.

Skills

Backend Development

Python

Kotlin

Distributed Systems

Data Pipelines

Batch Processing

System Design

Code Review

Technical Leadership

API Design

Education

Bachelor's degree or equivalent experience

Tools

AWS

MySQL

Kubernetes

Spark

Airflow

Job description

Affirm is seeking an experienced backend engineer to lead the development and scaling of data platforms for real-time loan origination and financial reporting. You will own quarterly goals, mentor engineers, and collaborate with product and design teams to solve complex technical problems.

The role requires 4+ years in backend systems with Python or Kotlin, plus expertise in AWS, MySQL, Kubernetes, and Spark or Airflow to build scalable data pipelines and robust services.