Remote Senior SRE: Cloud Reliability & Incident Response

ClickHouse, Inc.; Canada; Hybrid; CAD 140,000 - 180,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare

Equity in the company

Time off

A USD$500 Home office setup

Global Gatherings

Job summary

ClickHouse, Inc. is expanding its central Site Reliability Engineering team in Canada. You will build and lead processes to ensure reliability, availability, scalability, and performance of our cloud infrastructure and guide cross-functional teams to design resilient systems.

You will own incident management, post-mortem analysis, and drive continuous improvements, leveraging Go or Python to develop platforms that boost operational efficiency and reliability at scale.

Qualifications

• 8+ years of Site Reliability Engineering or a related field.
• Hands-on experience with Go and/or Python.
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with container orchestration: Kubernetes or Docker Swarm.
• Experience with automation/configuration tools: Ansible, Terraform, or Puppet.

Responsibilities

• Collaborate with engineering teams to design scalable, secure, and highly available systems.
• Establish and manage SLOs/SLAs for ClickHouse Cloud.
• Ensure monitoring and alerting across all infrastructure components.
• Improve incident response processes and post-mortem analysis.
• Drive reliability and performance improvements for ClickHouse services.
• Lead Chaos initiatives and manage on-call processes.

Skills

Go

Python

SRE experience

Communication

Education

Bachelor's or Master's in CS or related field

Tools

Kubernetes

Docker Swarm

Ansible

Terraform

Puppet

Job description

ClickHouse, Inc. is expanding its central Site Reliability Engineering team in Canada. You will build and lead processes to ensure reliability, availability, scalability, and performance of our cloud infrastructure and guide cross-functional teams to design resilient systems.

You will own incident management, post-mortem analysis, and drive continuous improvements, leveraging Go or Python to develop platforms that boost operational efficiency and reliability at scale.