[Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]

About Quora:

Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:

Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5, Claude Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Quora product.

About the Team and Role:

Our data infrastructure team is responsible for all things data - data lake, data pipelines, distributed query engines, experimentation framework, data dashboards and visualization tools and so on. Our data-ecosystems is composed of open source technologies like Kafka, Hive, Trino, Spark and Airflow, along with a few in-house-built systems. As a member of our team you would spend time designing and scaling our existing infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company. We are looking for someone who will be excited by the prospect of optimizing, enhancing or even re-designing our company’s data architecture/pipelines to support our next generation data initiatives.

We are looking for someone who will be excited by the prospect of optimizing, enhancing or even re-designing our company’s data architecture/pipelines to support our next generation data initiatives.

🌟 Discover Our Team's Exciting Projects! 🌟

Join us on a journey through some of our standout achievements that showcase innovation and collaboration at Quora:

🚀 Migrating a Decade of Redshift Usages to Trino at Quora: Dive into how we transformed our data ecosystem, enhancing efficiency and performance!
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