Senior Software Engineer, Backend

Summary

Join Affirm's Streaming team and help build and optimize high-throughput, low-latency data pipelines for critical business applications. You will design and build data infrastructure systems and services to handle new Affirm products and business requirements, scaling over millions of users and their transactions. The role involves building frameworks and services used by other engineering teams to manage billions of dollars in loans and power customer experiences. You will also improve the reliability and efficiency of the Data Platform and collaborate with other teams, including ML and Analytics. This position requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure. The ideal candidate will have 8+ years of experience in building large-scale production systems and strong hands-on experience with Apache Kafka or similar streaming solutions.

Requirements

• 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 queueing
• Experience building and operating robust and highly available infrastructure
• Expertise with at least one stream processing frameworks like Spark, Samza, Flink, Beam etc
• Hands-on experience with Kafka Connect, and Kafka Schema Registry components, understanding its underlying functionality and implementation
• Solid programming skills in Python, Java or Kotlin
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field

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

Preferred Qualifications

• Experience working withdata platforms like Snowflake, Glue or Databricks is a plus
• Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus
• Experience with Apache Iceberg table format, CDC (Change Data Capture) 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 closely with stakeholders

Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount