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’s 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.

What You’ll Do

You will collaborate with other teams - including product, infrastructure, and site reliability engineering (SRE) to:

• Leading and mentoring engineers to define and execute on a roadmap aligned with stakeholder needs
• Design, build, and a highly durable and strongly consistent structured datastore solution.
• Design, build and own an infrastructure platform that provides critical support for operating database systems at scale.
• Design and build structured storage solutions that solve for multi-region, active resharding, and globally available services.
• Collaborate with other teams on their database needs and provide continuous guidance on design and architecture.
• Participating in an on-call rotation and collaborating with other teams such as SRE to solve production issues.

You will also have the opportunity to learn bleeding edge open source technologies like Kubernetes and Vitess as we build the future of Affirm’s data storage platform.

What We Look For

• 7+ years of development experience.
• Experience in the role of Database Administrator.
• Experience with AWS and/or other cloud providers (e.g., EC2, VPC, IAM, EKS etc.);.
• Hands-on experience with relational (e.g. AWS Aurora MySQL) and NoSQL databases or any online transaction (OLTP) systems experience.
• Experience with designing and owning highly available, fault-tolerant, multi-region online backend systems using cloud storage services.
• Working knowledge of OLAP systems like Snowflake is a plus.
• Experience in operating 24x7 mission-critical systems.
• Working knowledge and experience in data lifecycle management and operation (e.g., data Performance, ETL, streaming/batch processing, data quality, data security, etc.)
• Knowledge of Python/Kotlin or the ability to learn them quickly.
• Experience building and owning large-scale, geographically distributed backend systems.
• Skilled at developing and debugging in one or more programming languages.
• Experience with (or want to learn about) operating system internals, filesystems, databases, network, concurrency frameworks.
• Eager to learn new things and have a growth mindset.
• At least one of:
• Experience working in Database, SRE, or Infrastructure teams in the past, or have operated a distributed data storage system such as MySQL, Kafka, Cassandra, or others.
• Experience with Service-Oriented Architectures (SOA). We use technologies such as Kubernetes, Docker, gRPC, Envoy, Istio, Celery/RabbitMQ, and NGINX, but we are always looking for new technologies to adopt.