Staff Database Engineer, ClickHouse

About […]

At […], we are building a customer feedback intelligence platform for product development teams. We are solving complex problems in natural language processing, serverless computing, analytics on frontend, pushing the envelope of what’s possible by applying first principle thinking.

We are backed by Kleiner Perkins and Sequoia Capital, who share our conviction in this mission, and we serve some of the most respected product development teams in the world, including Canva, Notion, Netflix, Wispr Flow.

We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership.

Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work.

Read more about our team, core values, and operating principles - here.

Run ClickHouse in production on AWS EC2 end to end, covering performance, capacity, replication, Keeper, upgrades, backups and cost.

Redesign how we store customer data so the database grows with data volume, not with the number of customers. Today each customer has its own set of tables, some with 1,000+ custom columns, which puts us at tens of thousands of tables and climbing toward 10x.

Make queries fast and writes safe. Tune schemas, partitions and queries, and make deletes, updates and backfills safe to run at scale.

Write and review Go and Python code, mainly the data-access layers