
About Affirm
Transparent financing for modern consumers
Key Highlights
- 21M+ consumers and 337,000+ merchants using Affirm
- Raised $1.1B in funding, currently in Series F
- Flexible payback options from 3 to 36 months
- Headquartered in Chinatown, San Francisco, CA
Affirm, headquartered in Chinatown, San Francisco, CA, is a leading fintech company specializing in point-of-sale installment loans. With over 21 million consumers and 337,000+ merchants including Shopify, KAYAK, and Walmart, Affirm offers flexible payback options ranging from 3 to 36 months. The co...
🎁 Benefits
Affirm offers a remote-first workforce policy, allowing employees to work from anywhere in their home country. Benefits include 18 weeks of paid paren...
🌟 Culture
Affirm's culture is centered around transparency and consumer empowerment, with a focus on delivering honest financial products. The company actively ...
Overview
Affirm is seeking a Staff Backend Engineer to join their Streaming team, focusing on building scalable data infrastructure and real-time data processing pipelines. You'll work with technologies like Kafka, Flink, and Spark, requiring deep expertise in stream processing.
Job Description
Who you are
You have 5+ years of experience in backend engineering, particularly in building scalable and fault-tolerant data infrastructure. Your expertise in stream processing technologies is complemented by a strong understanding of distributed systems, allowing you to tackle complex challenges effectively. You are proficient in programming languages such as Java and Python, which you have used to develop high-throughput data pipelines. Your experience with open-source technologies like Kafka, Flink, and Spark enables you to design and implement robust data processing solutions. You thrive in collaborative environments, working closely with cross-functional teams to promote optimal data usage across the organization. You are passionate about leveraging data to drive business outcomes and are always looking for innovative ways to enhance existing systems.
Desirable
Experience with cloud platforms such as AWS or GCP would be a plus, as would familiarity with data exploration and validation techniques. A background in event-driven architecture and a keen interest in identifying new use cases for streaming data infrastructure will set you apart.
What you'll do
As a Staff Backend Engineer on the Streaming team, you will design and build data infrastructure systems that support new Affirm products and business requirements. Your role will involve optimizing high-throughput, low-latency data pipelines that are critical for business applications. You will collaborate with other engineering teams to develop frameworks and services that enhance the overall data ecosystem at Affirm. Your responsibilities will include identifying new use cases for streaming data and executing on those opportunities to improve data processing capabilities. You will also be involved in scaling existing infrastructure to handle millions of users and their transactions, ensuring that systems are secure and efficient. Your contributions will directly impact the company's ability to deliver a seamless user experience.
What we offer
At Affirm, we believe in creating a supportive and inclusive work environment. We offer competitive compensation packages, including salary and benefits that reflect your skills and experience. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to innovation in the financial technology space. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to make credit more honest and friendly for consumers.
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