Affirm
Staff Software Engineer, Backend (Streaming)
Affirm, Los Angeles, California, United States, 90079
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 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 identify and execute on new use cases of streaming data infrastructure and frameworks, design and scale our infrastructure, and work 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 used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences. Support the Streaming team that forms the backbone for various online and offline workloads at Affirm. Improve the reliability and efficiency of the data platform at scale and high availability. Collaborate with ML and Analytics teams to deliver streaming solutions based on 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 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 like Spark, Samza, Flink, Beam etc. Hands-on experience with Kafka Connect and Kafka Schema Registry components. 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. 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 range (USA): CA/WA/NY/NJ/CT: $225,000 - $275,000; other states: $200,000 - $250,000 per year. Equity Grade - 13; Base Pay Grade - P. Affirm offers a remote-first work culture with optional office-based roles. Benefits: health coverage for you and dependents, flexible spending wallets, generous time off, ESPP, and other benefits. Affirm is an equal opportunity employer and provides accommodations upon request. By applying you acknowledge receipt of Affirm's Global Candidate Privacy Notice.
#J-18808-Ljbffr
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 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 identify and execute on new use cases of streaming data infrastructure and frameworks, design and scale our infrastructure, and work 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 used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences. Support the Streaming team that forms the backbone for various online and offline workloads at Affirm. Improve the reliability and efficiency of the data platform at scale and high availability. Collaborate with ML and Analytics teams to deliver streaming solutions based on 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 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 like Spark, Samza, Flink, Beam etc. Hands-on experience with Kafka Connect and Kafka Schema Registry components. 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. 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 range (USA): CA/WA/NY/NJ/CT: $225,000 - $275,000; other states: $200,000 - $250,000 per year. Equity Grade - 13; Base Pay Grade - P. Affirm offers a remote-first work culture with optional office-based roles. Benefits: health coverage for you and dependents, flexible spending wallets, generous time off, ESPP, and other benefits. Affirm is an equal opportunity employer and provides accommodations upon request. By applying you acknowledge receipt of Affirm's Global Candidate Privacy Notice.
#J-18808-Ljbffr