Staff Software Engineer, Backend, Streaming

September 17

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Affirm

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Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

📋 Description

• 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

🎯 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. • 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

🏖️ Benefits

• 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.) • Flexible remote-first work policy with ability to work almost anywhere within the country of employment • 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 • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount