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ClickHouse | Senior Software Engineer - Cloud Infrastructure / Kubernetes | Remote (US / EU preferred, APAC can be considered if you're outstanding at remote work + communication)

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 data-driven algorithms for autoscaling, consider applying!

Send me an email: manish.gill [at] clickhouse [dot] com

[0] https://www.youtube.com/watch?v=AFoMsLMZKik

[1] https://www.youtube.com/watch?v=ufY_JFPpzRI






I'm not sure if I should be applying but before I do, I'm wondering what kind of novel or interesting data driven algorithms you refer to here. Are you referring to like adaptive query planners based on runtime statistics? Real-time detection of query latency spikes? Automated creation of secondary indexes based on usage patterns? Statistical smarts to decide what to cache and when? These would be sort of runofthemill for any modern database product, can you clarify if you are looking for any of these?

Asking in good faith out of genuine curiosity: I kind of associate ClickHouse with Yandex. What's the present-day relationship and legal setup, and how does it jive with Western sanctions against Russia?

It’s an independent company with HQ in San Francisco, CA.



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