ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse.
Things my team works on:
- Scale To Zero
- Vertical and Horizontal Scaling
- Make Before Break Scaling (see some of my KubeCon talks - 0 and 1)
- ClickHouse Kubernetes Operator
- Recommendation Systems (Time Series Analysis, Forecasting algorithms, Data Engineering)
- ClickHouse Internals (every once in a while)
What we are looking for:
- Cloud / Kubernetes operator engineers to build the AutoScaling infrastructure. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on autoscaling or other data-driven forecasting challenges in the past.
- Can work in an early stage startup environment. Proactive and hands on.
- Senior/Staff+ Engineer. You must be independent and self-organized.
- Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment)
- We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good.
- SQL / ClickHouse SQL (goes without saying)
- You'll need to be able to do On-Call - debugging production infra or db issues
- If you can do low-level database programming (C++, ClickHouse) that's added bonus.
If you want to work on operating production critical databases in the cloud on k8s + write novel/interesting data driven algorithms, consider applying!