Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
The Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Spark and also build our own as needed to design and build real-time data processing pipelines that handle massive volumes of data across our distributed systems.
As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks , designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company. This role requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure.
Key Responsibilities
Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
Build and optimize high-throughput, low-latency data pipelines for critical business applications
Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.
Help support the Streaming team that forms the backbone for several online and offline workloads at affirm.
Improve the reliability and efficiency of the Data Platform at scale and high availability.
Collaborate with other teams at Affirm, including ML and Analytics, to deliver streaming solutions based on various use-cases and best practices
Monitor, troubleshoot, and maintain production streaming systems, ensuring high availability and reliability of data systems
What We Look For:
8+ years of industry experience in building large scale production systems.
Strong hands on experience with Apache