About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. We lead the market in real-time analytics, data warehousing, observability, and AI workloads, with a rapidly expanding customer base of AI innovators and global brands.
We are building out our newly formed Site Reliability Engineering team to ensure the reliability, availability, scalability, and performance of our cloud infrastructure. You will collaborate with cross-functional teams, including Control Plane, Dataplane, Core, Security, and Operations, to design highly available distributed systems. This role involves owning incident management, blameless post-mortems, and developing software platforms to optimize operational and engineering efficiencies for our serverless ClickHouse Cloud.
What will you do?
- Collaborate with various engineering teams to design and implement scalable, secure, and highly available systems.
- Establish and manage service level objectives (SLOs) and service level agreements (SLAs).
- Ensure infrastructure components have monitoring and alerting in place for timely incident resolution.
- Refine incident response processes and conduct post-mortem analysis for outages.
- Continuously improve the reliability and performance of ClickHouse services.
- Plan and drive Chaos initiatives across engineering teams based on priorities.
- Manage on-call processes and establish best practices for escalation and downtime minimization.
About you:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- At least 8 years of experience in Site Reliability Engineering or a related field.
- Previous experience using ClickHouse in production.
- Hands-on experience with Go and/or Python.
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent understanding of distributed databases and SQL (ClickHouse experience is a major plus).
- Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
- Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
- Strong problem-solving and production debugging skills.