ClickHouse Operations Engineer

PostHog Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• ClickHouse is the core piece of infrastructure at PostHog, and every product and customer relies on it to ingest, store, and query data.
• We need someone to automate, manage, and maintain ClickHouse as we grow towards capturing trillions of events per year and having one of the world’s largest clusters.
• This includes ClickHouse operations and scaling infrastructure, as well as node and instance-level performance optimization.
• You'll build systems and automations for the provisioning and scaling of our large ClickHouse clusters, handling over 100 PB's of data.
• You'll have the ability to investigate and experiment using the latest hardware that cloud providers have to offer in order to find the optimal setup for our solution.
• You'll have a budget to do this.
• You'll be using Terraform, Ansible, and Kubernetes to automate the dynamic provisioning of instances and work on a bleeding edge ClickHouse implementation.

🎯 Requirements

• OLAP Database Experience, specifically with ClickHouse or other OLAP Databases.
• Experience in automating Dynamic provisioning instances using Terraform, Ansible, and Kubernetes.
• Experience with Scale and Complexity, building and operating high-scale complex data storage solutions.
• Familiarity with the Stack we need, including Python, Terraform, Ansible, Kubernetes, AWS, and Zookeeper.

🏖️ Benefits

• Opportunity to work on a bleeding edge ClickHouse implementation.
• Ability to investigate and experiment using the latest hardware that cloud providers have to offer.
• Budget to optimize and improve ClickHouse performance.
• Collaborative and remote work environment.
• Access to the latest tools and technologies.

Skills & Technologies

Python

Node.js

AWS

Kubernetes

Remote

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PostHog Inc.

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About PostHog Inc.

PostHog provides an open-source product analytics platform that lets teams track user behavior, run A/B tests, and gather feedback without sending data to third parties. The self-hosted or cloud service captures events, pageviews, feature flags, and session recordings, then surfaces insights through dashboards, funnels, retention, and cohort analysis. Engineers can instrument code once and non-technical teammates can query results using SQL or visual builders. The company maintains the core project under an MIT license and offers paid tiers for enterprise support, higher volumes, and advanced features such as correlation analysis, data pipelines, and team collaboration tools.

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