Software Engineer II – Streaming Data Systems (Remote)

Affirm, Inc.; Madison (WI); Remote; USD 146,000 - 206,000; Full time

Benefits offered by this job

100% subsidized medical coverage for员工

Monthly stipends for health, wellness,

ESPP: employee stock purchase plan

On-going professional growth & on-call

Job summary

Affirm, Inc. is seeking a software engineer to design and launch backend systems, focusing on Python or Kotlin, and leveraging distributed architectures with AWS, Kafka, Flink, and Kubernetes. The role emphasizes ownership, code quality, and collaboration across product, design, and data teams.

As a remote-first company, you will contribute to scalable data infrastructure, participate in interviews, and help keep systems reliable through metrics and on-call support.

Qualifications

• 1.5+ years of experience as a software engineer.
• Experience designing, developing and launching backend systems in Python or Kotlin.
• Familiar with distributed systems and AWS, Kafka, Flink, Kubernetes.
• Ability to turn a simple problem into a multi-component solution with well-tested code.

Responsibilities

• Break down projects into tasks and deliver in phases.
• Collaborate with product, design and analytics to inform decisions.
• Monitor and sustain team artifacts; support on-call efforts.
• Contribute to team growth through interview participation and feedback.

Skills

Backend design

Python

Kotlin

Distributed systems

AWS

Kafka

Flink

Kubernetes

Code reviews

Ownership & growth

Education

Bachelor's degree or equivalent

Tools

AWS

Kafka

Flink

Kubernetes

Job description

Affirm, Inc. is seeking a software engineer to design and launch backend systems, focusing on Python or Kotlin, and leveraging distributed architectures with AWS, Kafka, Flink, and Kubernetes. The role emphasizes ownership, code quality, and collaboration across product, design, and data teams.

As a remote-first company, you will contribute to scalable data infrastructure, participate in interviews, and help keep systems reliable through metrics and on-call support.