At Affirm, data is fundamental to everything we do. Our data and storage solutions empower machine learning, artificial intelligence, cloud-based technologies, and other modern tools to create differential and scalable products. We prioritize building our own technology and investing in engineering talent, as we believe these are enduring competitive advantages that are difficult to replicate. Our expertise in sourcing, aggregating, protecting, and analyzing data has been what we believe to be a core competitive advantage of our platform since our founding. We use data to inform our analysis and decision-making, including risk assessment, in a way that empowers consumers and generates value for our merchants and funding sources.
Our mission is to provide trustworthy, intuitive, and cost-efficient solutions to secure, store, analyze, and transform data at exceptional scale.
We are responsible for highly available, low latency, cost efficient compliant cloud based data storage, data processing, and analytics capabilities that enable all of Affirm customer-facing business critical websites/applications (e.g., checkout flows, merchant APIs, etc.) as well as back-office processes (e.g., Capital Engineering, Lending, etc.). To drive innovation at our scale, we need experienced engineers to build storage, data abstraction, streaming, transformation, analytics warehouse, replication, metadata platform, data exploration, governance framework.
responsibilities :
Design, code, and maintain services that enable the origination of hundreds of millions of dollars worth of loans and can scale to meet our growing demand
Mentor junior teammates, review their code, and help them learn the skills and methodologies needed to become outstanding engineers
Work with technical and non-technical business partners to discuss project plans and status
Continually look for ways to improve both LOR systems and Affirm Engineering as a whole
requirements-expected :
+2 years of commercial experience in software engineering
Passion for technology and solving problems with software
Proficiency and experience in back-end development and distributed systems (our tech stack includes Python, Spark, Kubernetes, MySQL, and AWS)
Strong cross-team communication and collaboration skills
