Software Engineer, Backend; Streaming

Overview

Staff Software Engineer, Backend (Streaming)

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 build our own as needed to design and operate real-time data processing pipelines that handle massive volumes of data across 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 collaborate 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.

• 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 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 use-cases and best practices.
• Monitor, troubleshoot, and maintain production streaming systems to ensure high availability and reliability of data systems.

• 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 No
  
  SQL databases is a plus.
• Experience leading technical projects and mentoring junior engineers.
• Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

• Base Pay Grade - P
• Equity Grade - 13
• USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000
• USA base pay range (all other U.S. states) per year: $200,000 - $250,000
• Affirm offers a remote-first policy with flexibility to work remotely; some roles may require occasional in-office work.
• Benefits include health care coverage, Flexible Spending Wallets, time off, ESPP, and other compensation components.

Affirm is an equal opportunity employer. We provide accommodations for candidates in need of individualized support during the hiring process. By applying, you acknowledge receipt of Affirm's Global Candidate Privacy Notice.