Senior Backend Software Engineer (Partner Merchant Interface)

Join Affirm as a Senior Backend Software Engineer in the Partner Merchant Interfaces - Integration team. You will work on APIs that integrate partners and merchants with Affirm, including top partners like Amazon and Stripe. Your role will involve collaborating with your team and stakeholders, balancing speed and quality in your work, and contributing to a sense of community on your team. Enjoy a remote-first work environment, generous time off, health benefits, mental healthcare, parental leave, and opportunities for learning and development.

• Contribuer aux projets et objectifs de l'équipe en travaillant sur des tâches liées aux API utilisées par les partenaires et les commerçants.
• Collaborer de manière proactive avec l'équipe et les parties prenantes, en les impliquant dans le processus de travail et en créant de la visibilité sur les risques.
• Équilibrer la rapidité et la qualité de votre travail, en veillant à atteindre les objectifs commerciaux tout en protégeant les systèmes contre les temps d'arrêt.

• You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code
• You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field
• You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team
• Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders
• You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin