Posthog

ClickHouse Operations Engineer

Posthog3 months ago
Location

Remote (US)

Workplace

Remote

Type

Full Time

Level

Senior

Role

ClickHouse Operations Engineer

Posted

Jan 14, 2026

Full TimeRemoteSenior

The role

Summary

PostHog is seeking a ClickHouse Operations Engineer to manage and scale their core database infrastructure supporting 100,000+ companies. This role focuses on automating, optimizing, and scaling ClickHouse clusters handling 100+ PB of data, requiring deep OLAP database experience and expertise in infrastructure automation tools.

What you'll do

ClickHouse Infrastructure Management: Automate, manage, and maintain ClickHouse clusters handling over 100 PB of data
Scaling Operations: Build systems for provisioning and scaling large ClickHouse clusters to support trillions of events per year
Performance Optimization: Perform node and instance-level performance optimization for optimal ClickHouse workload performance
Hardware Optimization: Investigate and experiment with latest cloud provider hardware to find optimal setups for data solutions
Infrastructure Automation: Use Terraform, Ansible, and Kubernetes for dynamic instance provisioning and infrastructure automation
Query Performance Tooling: Work on query optimizer development and performance tooling for ClickHouse
Bleeding Edge Implementation: Work on cutting-edge ClickHouse features like open format backed tables and advanced configurations

What we look for

Technical

OLAP Database ExpertiseDeep experience with ClickHouse internals or other OLAP databases beyond high-level usage
Infrastructure AutomationStrong experience with dynamic instance provisioning using Terraform, Ansible, and Kubernetes
High-Scale SystemsExperience building and operating high-scale complex data storage solutions
Python ProgrammingProficiency in Python for automation and tooling development
Cloud InfrastructureExperience with AWS cloud services and infrastructure management
Distributed SystemsKnowledge of Zookeeper or similar distributed coordination systems

Experience

OLAP Database OperationsHands-on experience managing and optimizing columnar analytical databases at scale
Large-Scale Data SystemsExperience with petabyte-scale data storage and processing challenges
Infrastructure AutomationProven track record of automating complex infrastructure provisioning and management

Skills

Required skills

ClickHouseDeep understanding of ClickHouse internals, configuration, and optimization
TerraformInfrastructure as code for automated provisioning and scaling
AnsibleConfiguration management and deployment automation
KubernetesContainer orchestration and dynamic scaling
PythonProgramming for automation scripts and tooling
AWSCloud infrastructure services and management
High-Scale SystemsExperience with petabyte-scale data infrastructure

Nice to have

Query OptimizationExperience with database query performance tuning and optimization
Hardware Performance AnalysisKnowledge of hardware optimization for database workloads
Open Format TablesExperience with modern data lake formats and implementations
Distributed CoordinationKnowledge of Zookeeper or alternative distributed systems
Performance MonitoringExperience with database monitoring and performance analysis tools

Compensation & benefits

Benefits

Remote Work

Fully remote position with global flexibility

Hardware Budget

Budget for experimenting with latest cloud provider hardware

Learning Opportunities

Work with bleeding-edge ClickHouse implementations and cutting-edge technology

Growth Potential

Opportunity to build one of the world's largest ClickHouse clusters

Well-Funded Company

Work at a well-funded startup with over $100M raised from top investors


Interview process

  1. 1
    Initial Screening Discussion about background and experience with ClickHouse and OLAP databases
  2. 2
    Technical Interview Deep dive into ClickHouse internals, infrastructure automation, and scaling challenges
  3. 3
    System Design Design exercise for scaling database infrastructure to handle petabyte-scale data
  4. 4
    Final Interview Cultural fit assessment and discussion of role expectations with team members

Apply for this position

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