Staff Software Engineer, Backend (Streaming)

Affirm

🔍 Observed

$225K - $275K USD

Remote US First seen 3 weeks, 1 day ago Last seen 2 hours, 4 minutes ago Greenhouse

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Job Description

AI Summary

• Design and build scalable, fault-tolerant real-time data processing pipelines using technologies like Kafka, Flink, and Spark to handle massive transaction volumes across Affirm's distributed systems • Develop high-throughput, low-latency infrastructure and frameworks that enable other engineering teams to manage billions of dollars in loans while supporting millions of users • Requires 8+ years of experience building large-scale production systems with strong hands-on expertise in Apache Kafka, stream processing frameworks, and data platform technologies • Must have solid programming skills in Python, Java, or Kotlin, plus experience with Kafka Connect, Schema Registry, and ideally Confluent Platform or Apache Iceberg • Collaborate across ML, Analytics, and other teams to monitor and optimize production streaming systems for high availability, reliability, and efficiency at scale

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The Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing 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 spend time identifying and executing on new use cases of streaming data infrastructure and frameworks , designing and scaling our existing infrastructure and working 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 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

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 queueing
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 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.
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

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

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

#LI-Remote

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. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

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

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, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's 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.

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Job Information

Company:
Affirm
Location:
Remote US
Work Location:
Remote
Experience Level:
Executive
Source:
Greenhouse
Status:
Active

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68 /100

Likely Active (68)

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