Senior Backend Engineer - Scalable Systems (Remote)

Affirm, Inc.; United States; Remote; USD 108,000 - 151,000; Full time

Benefits offered by this job

Health coverage

Tech stipends

Flexible time off

Employee stock purchase plan

Job summary

Affirm, Inc. is seeking a Capacity Modeling Engineer to own quarterly goals for a high-scale backend team. You will lead engineers through ambiguity and ensure delivery while partnering with product, design and analytics to navigate constraints and risks.

You will build statistical capacity models mapping demand to resources (CPU, memory, connections) and translate forecasts into concrete capacity settings across regions and environments, balancing reliability with cost.

Qualifications

• 4+ years designing, developing and launching backend systems at scale.
• Proven distributed systems experience using AWS, MySQL and Kubernetes.
• Experience supporting scale during large sales events (e.g., Prime Day, Black Friday).

Responsibilities

• Own and deliver quarterly goals for the capacity team and lead engineers through ambiguity.
• Collaborate with product, design and analytics to balance constraints and risks.
• Identify and drive resolution of project, process or tech issues.
• Support operations and on-call efforts to keep artifacts available.
• Set and improve code review and design standards beyond the team.
• Mentor and develop team members with feedback and guidance.

Skills

Backend design

Distributed systems

Cloud computing

Code quality

Education

Bachelor’s degree or equivalent

Tools

AWS

Kubernetes

MySQL

Python

Kotlin

Job description

Affirm, Inc. is seeking a Capacity Modeling Engineer to own quarterly goals for a high-scale backend team. You will lead engineers through ambiguity and ensure delivery while partnering with product, design and analytics to navigate constraints and risks.

You will build statistical capacity models mapping demand to resources (CPU, memory, connections) and translate forecasts into concrete capacity settings across regions and environments, balancing reliability with cost.