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. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly.
The AXP team at Affirm is responsible for all things experimentation at Affirm! As a consequence, you’ll be setting the strategy for our event driven architecture, stream processing, data management, and integration offerings. We leverage existing open source technologies like Kafka, Spark, Map Reduce and also build our own as needed. As a member of our team you would spend time identifying and executing on new use cases of AXP, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of experiments at the company.
What you’ll do
- Architect stream processing features to execute on our ambitious event driven ecosystem.
- Develop robust, well-instrumented stream processing data pipelines that can scale to handle Affirm's future growth and adhere to strict SLAs.
- Design and build experimentation infrastructure and tooling to evaluate new Affirm products and initiatives that securely scale over millions of users and their transactions.
- Improve the reliability and efficiency of our core data processing systems.
- Develop data processing systems using MapReduce and Spark.
- Work cross-functionally with various engineering, data science and analytics teams to identify and execute on new opportunities in experimentation.
- Provide low-latency robust statistical analysis and visualization tooling for stakeholders in various functions.
What we look for
- 8+ years of industry experience in building large scale production systems.
- Experience building and owning large-scale stream processing systems.
- Experience building and operating robust and highly available infrastructure.
- Working knowledge of Relational and NoSQL databases.
- Experience working with Data Warehouse solutions
- Experience building out statistical analysis tooling.
- Experience leading technical projects and mentoring junior engineers.
- Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
- BS, MS or PhD in Computer Science, Engineering or a related technical field.
Location - Remote Canada
Affirm is proud to be a remote-first company! The majority of our roles are remote and can be located anywhere in the U.S. and Canada (with the exception of the U.S. Territories, Quebec, Yukon, Nunavut, and the Northwest Territories) unless the job indicates a different global location. We are currently building operations in Spain, Poland, and Australia. Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines.
All full-time jobs at Affirm (excluding interns and apprentices) are tied to a transparent grade-based pay range taking location into account.
[Colorado Candidates] In accordance with Colorado’s Equal Pay for Equal Work Act, the grade for this position in Colorado is listed above. You can find the Colorado base pay range and benefits here.
At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2021 DEI Report.
We also 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.
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