Senior Backend Engineer — Scale & Impact (Remote)

Affirm, Inc.; Denver (CO); A distancia; USD 170.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% medical coverage for employee and

Dependent coverage included

Descripción de la vacante

Affirm, Inc. is seeking a seasoned backend engineer to own and deliver scalable systems. You will work with product, design, and analytics to shape technical decisions and ensure robust, maintainable code.

The role requires 4+ years building distributed systems using Python or Kotlin, with a focus on ownership, quality, and collaboration across a global engineering team. Remote-first with flexible US-wide applicability.

Formación

• 4+ years of experience designing, developing and launching backend systems at scale.
• Experience building highly available distributed systems using AWS, MySQL and Kubernetes.
• Ability to define a technical plan for delivering a significant feature with an elegant design.
• Proven track record of making large codebase changes safely with tooling and practices.

Responsabilidades

• Own and deliver quarterly goals for your team, guiding engineers from ambiguity to solution.
• Collaborate with product, design and analytics across the lifecycle to evaluate risks and trade-offs.
• Identify and lead addressing project, process, technology or business issues.
• Support operations and availability of team artifacts by creating metrics and on-call support.
• Set and improve code review and design standards beyond your team through writing and tech talks.
• Develop talent by providing feedback and leading by example.

Conocimientos

Python

Kotlin

Educación

Bachelor's degree or equivalent practical experience

Herramientas

AWS

MySQL

Kubernetes

Descripción del empleo

Affirm, Inc. is seeking a seasoned backend engineer to own and deliver scalable systems. You will work with product, design, and analytics to shape technical decisions and ensure robust, maintainable code.

The role requires 4+ years building distributed systems using Python or Kotlin, with a focus on ownership, quality, and collaboration across a global engineering team. Remote-first with flexible US-wide applicability.