Software Engineer, Backend; Streaming

Overview

Join to apply for the Staff Software Engineer, Backend (Streaming) role at Affirm
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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 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 design and build real-time data processing pipelines that handle massive volumes of data across distributed systems, using open source technologies like Kafka, Flink, Spark, and custom solutions as needed.

As a member of the team you would identify and execute on new use cases of streaming data infrastructure and frameworks, design and scale existing infrastructure, and work closely 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.

• Design and build data infrastructure systems, services and tools to 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 underpins 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 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) is a strong plus.
• Expertise with at least one stream processing framework (e.g., Spark, Samza, Flink, Beam).
• 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 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 with stakeholders.
• Equivalent practical experience or a Bachelor’s degree in a related field.

Base Pay Grade - P;
Equity Grade - 13. Affirm focuses on providing a simple and transparent pay structure based on location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and dependents).

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 is remote-first; most roles are remote and you can work almost anywhere within the country of employment. Some roles may require working from an Affirm office.

• Health care coverage – Affirm covers all premiums for all levels of coverage for you and your dependents.
• Flexible Spending Wallets – stipends for technology, food, lifestyle needs, and family forming expenses.
• Time off – vacation and holidays to rest and recharge.
• ESPP – employee stock purchase plan at a discount.

Affirm is committed to an inclusive interview experience and provides reasonable accommodations during the hiring process. For U.S. positions that could be performed in Los Angeles or San Francisco, Affirm will consider qualified applicants with arrest and conviction records. By submitting an application you acknowledge the Global Candidate Privacy Notice and consent to collection, processing, and storage of your personal information as described therein.