Remote Backend Engineer - Streaming Data Systems

Affirm, Inc.; Washington (District of Columbia); Remote; USD 146,000 - 206,000; Full time

Benefits offered by this job

100% covered health premiums

Monthly tech stipend

Equity via ESPP

Generous time off

Job summary

Affirm, Inc. is hiring for a software engineer to design, build, and scale backend systems using Python or Kotlin. You will work with data infrastructure and event-driven architecture, collaborating with product, design, and analytics teams to deliver robust solutions.

You will contribute to reliable, well-tested code and participate in design reviews, while growing your own skills in a fast-paced, remote-first environment across the US.

Qualifications

• 1.5+ years of software engineering experience.
• Experience designing, developing and launching backend systems using Python or Kotlin.
• Familiar with distributed systems and technologies like AWS, Kafka, Flink, and Kubernetes.
• Ability to write clear, tested, extensible code.
• Comfortable navigating large code bases and conducting code reviews.
• Bachelor's degree or equivalent in related field.

Responsibilities

• Break down projects into tasks and deliver in phases with teammates.
• Support product lifecycle with cross-functional collaboration.
• Monitor and maintain team artifacts; participate in on-call efforts.
• Contribute to team growth through interview participation and feedback.

Skills

Software engineering

Backend design

Python or Kotlin

Distributed systems

AWS

Kafka

Flink

Kubernetes

Code reviews

Communication

Education

Bachelor's degree or equivalent

Tools

AWS

Kafka

Flink

Kubernetes

Job description

Affirm, Inc. is hiring for a software engineer to design, build, and scale backend systems using Python or Kotlin. You will work with data infrastructure and event-driven architecture, collaborating with product, design, and analytics teams to deliver robust solutions.

You will contribute to reliable, well-tested code and participate in design reviews, while growing your own skills in a fast-paced, remote-first environment across the US.