Staff Software Engineer (Backend, Capacity Modeling)

Join Affirm as a Staff Software Engineer on the Capacity Modeling team. You will be responsible for setting the technical strategy for your team, collaborating across teams in the product development lifecycle, and fostering a culture of quality and ownership. You will also help develop talent on your team and take ownership of your team's operations and availability. Enjoy a remote-first work environment, generous time off, and comprehensive health benefits.

• Establecer la estrategia técnica para el equipo en un horizonte de un año, y ayudar a vincularla con proyectos críticos que impactan en el negocio.
• Colaborar con equipos en el ciclo de desarrollo del producto para garantizar la sostenibilidad técnica, los riesgos y los compromisos se comprendan y gestionen adecuadamente.
• Actuar como un multiplicador de fuerza para el equipo a través de la definición y defensa de soluciones técnicas y procesos operativos.
• You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin
• Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers
• You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work
• You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team
• You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes
• You have experience supporting scale up and down of large scale sales event such as Prime Day, Black Friday Cyber Monday, or other sales holidays
• You have tuned autoscaling, CPU/Memory, and multi-threading for compute type workloads