Affirm
Staff Software Engineer, Backend (Streaming)
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 and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage technologies like Kafka, Flink, Spark and build our own components as needed to design and run real-time data processing pipelines that handle massive data across distributed systems. As a member of the Streaming team, you will identify and execute on new use cases for streaming data infrastructure, design and scale infrastructure, and collaborate with other teams to promote 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. 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. Develop frameworks and services used by other engineering teams to manage billions of dollars in loans and power customer experiences. 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 / Qualifications
8+ years of industry experience in building large-scale production systems. Strong hands-on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queuing. Experience building and operating robust and highly available infrastructure. Experience with data platforms like Snowflake, Glue or Databricks is a plus. Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus. Expertise with at least one stream processing framework (Spark, Samza, Flink, Beam, etc.). Hands-on experience with Kafka Connect and Kafka Schema Registry components, understanding underlying functionality and implementation. Solid programming skills in Python, Java or Kotlin. Experience with Apache Iceberg table format, CDC tools is a strong plus. Knowledge of Relational and NoSQL databases is a plus. Experience leading technical projects and mentoring junior engineers. Exceptionally collaborative with a history of delivering complex technical projects and working with stakeholders. This position requires either equivalent practical experience or a Bachelor's degree in a related field. Compensation and Benefits
Base Pay Grade - P Equity Grade - 13 Base pay range (USA, CA/WA/NY/NJ/CT): $225,000 - $275,000 per year Base pay range (USA, all other states): $200,000 - $250,000 per year Affirm is remote-first; some roles may require occasional office work. Benefits: health coverage for you and dependents, Flexible Spending Wallets, time off, ESPP, and more. Note
Affirm is proud to be an inclusive employer and provides accommodations for candidates during the hiring process. Affirm complies with applicable fair chance and privacy notices where required. By applying, you acknowledge reading Affirm's Global Candidate Privacy Notice.
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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 and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage technologies like Kafka, Flink, Spark and build our own components as needed to design and run real-time data processing pipelines that handle massive data across distributed systems. As a member of the Streaming team, you will identify and execute on new use cases for streaming data infrastructure, design and scale infrastructure, and collaborate with other teams to promote 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. 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. Develop frameworks and services used by other engineering teams to manage billions of dollars in loans and power customer experiences. 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 / Qualifications
8+ years of industry experience in building large-scale production systems. Strong hands-on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queuing. Experience building and operating robust and highly available infrastructure. Experience with data platforms like Snowflake, Glue or Databricks is a plus. Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus. Expertise with at least one stream processing framework (Spark, Samza, Flink, Beam, etc.). Hands-on experience with Kafka Connect and Kafka Schema Registry components, understanding underlying functionality and implementation. Solid programming skills in Python, Java or Kotlin. Experience with Apache Iceberg table format, CDC tools is a strong plus. Knowledge of Relational and NoSQL databases is a plus. Experience leading technical projects and mentoring junior engineers. Exceptionally collaborative with a history of delivering complex technical projects and working with stakeholders. This position requires either equivalent practical experience or a Bachelor's degree in a related field. Compensation and Benefits
Base Pay Grade - P Equity Grade - 13 Base pay range (USA, CA/WA/NY/NJ/CT): $225,000 - $275,000 per year Base pay range (USA, all other states): $200,000 - $250,000 per year Affirm is remote-first; some roles may require occasional office work. Benefits: health coverage for you and dependents, Flexible Spending Wallets, time off, ESPP, and more. Note
Affirm is proud to be an inclusive employer and provides accommodations for candidates during the hiring process. Affirm complies with applicable fair chance and privacy notices where required. By applying, you acknowledge reading Affirm's Global Candidate Privacy Notice.
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