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 Affirmsforms 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 to design and build real‑time data processing pipelines that handle massive volumes of data across distributed systems.
Key Responsibilities
Design and build data infrastructure systems, services and tools to handle new Affirms 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 Affirms 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 Affirms.
Improve the reliability and efficiency of the Data Platform at scale and high availability.
Collaborate with other teams at Affirms, 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
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 working 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, understanding its underlying functionality and implementation.
Solid programming skills in Python, Java or Kotlin.
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.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade - P
Equity Grade - 13
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your 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 proud to be a remote‑first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirms in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirms office. A limited number of roles remain office‑based due to the nature of their job responsibilities.
Benefits
Health care coverage – Affirms 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 Affirms at a discount.
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirms will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirms' Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
#J-18808-Ljbffr
Key Responsibilities
Design and build data infrastructure systems, services and tools to handle new Affirms 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 Affirms 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 Affirms.
Improve the reliability and efficiency of the Data Platform at scale and high availability.
Collaborate with other teams at Affirms, 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
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 working 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, understanding its underlying functionality and implementation.
Solid programming skills in Python, Java or Kotlin.
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.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade - P
Equity Grade - 13
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your 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 proud to be a remote‑first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirms in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirms office. A limited number of roles remain office‑based due to the nature of their job responsibilities.
Benefits
Health care coverage – Affirms 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 Affirms at a discount.
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirms will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirms' Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
#J-18808-Ljbffr