Cloud Database Infrastructure Engineer
Build and operate scalable, highly available cloud-native database infrastructure for ClickHouse’s serverless platform. The role requires 5+ years of distributed-systems experience, production programming in Go, C++, or Java, cloud infrastructure expertise, and operational on-call experience.
About the job
Responsibilities
- Build a cloud-native database platform on public cloud infrastructure.
- Develop and maintain infrastructure that supports ClickHouse as a fully functional serverless database solution.
- Improve and operate the in-house Kubernetes operator for seamless infrastructure management.
- Enhance the metrics pipeline and build systems that generate statistics and recommendations.
- Collaborate with the ClickHouse core development team and data plane teams on infrastructure use cases and internal improvements.
- Architect and build robust, scalable, highly available distributed infrastructure.
- Participate in production on-call rotations, debug production issues, and solve operational problems.
Requirements
- 5+ years of relevant software development experience building and operating scalable, fault-tolerant, distributed systems.
- Production experience with Go, C++, or Java.
- Experience with a public cloud provider such as AWS, Google Cloud, or Azure and infrastructure-as-a-service offerings such as EC2.
- Experience with data storage, ingestion, and transformation tools such as Spark or Kafka.
- Experience working with distributed systems.
- Strong problem-solving and communication skills, with the ability to work effectively across engineering teams.
- Willingness to participate in PagerDuty on-call rotations and debug production systems.
Benefits
- Employer healthcare contributions.
- Company stock options.
- Flexible time off, with country-specific entitlements.
- USD $500 home office setup allowance for remote employees.
- Opportunities to participate in company-wide global gatherings.
Skills
Kubernetes, Go, C++, Java, AWS, GCP, Azure, EC2, Spark, Apache Kafka, Distributed Systems, Pagerduty
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