ClickHouse

1 day ago

Senior Cloud Data Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build and maintain ClickHouse’s cloud-native, serverless database infrastructure within the Cloud Scaling team. Partner with core database and data plane teams to architect highly available distributed systems, develop and operate a Kubernetes operator, and improve the metrics pipeline that powers better statistics and recommendations. You’ll work on public-cloud foundations (AWS/GCP/Azure) and support scalable data storage, ingestion, and transformation for real-time analytics workloads.

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build a cloud-native database platform on public cloud infrastructure.
•Develop and maintain an in-house Kubernetes operator for infrastructure management.
•Improve the metrics pipeline and build systems to generate better statistics and recommendations.
•Collaborate with core database and data plane teams on infrastructure use cases and internal improvements.
•Architect and build robust, scalable, highly available distributed infrastructure.

Pay and Benefits

Perks:Health InsuranceEquityFlexible WorkTime OffHome OfficeGlobal Gatherings

Key Requirements

•5+ years building and operating scalable, fault-tolerant distributed systems.
•Production experience with Go, C++ or Java.
•Experience with public clouds (AWS, GCP, Azure) and infrastructure services such as EC2.
•Familiarity with data storage, ingestion, and transformation tools (e.g., Spark, Kafka).
•Comfort with production on-call (PagerDuty) and debugging problems in production.

Experience:5+ yearsCloudDistributed systemsData infrastructure

Skills:Problem-solvingCommunicationCross-team collaboration

Languages:En

Tech Stack:GoC++JavaAWSGCPAzureEC2KubernetesPagerDutySparkKafka

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

1 day ago

Senior Cloud Data Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build a cloud-native database platform on public cloud infrastructure.
•Develop and maintain an in-house Kubernetes operator for infrastructure management.
•Improve the metrics pipeline and build systems to generate better statistics and recommendations.
•Collaborate with core database and data plane teams on infrastructure use cases and internal improvements.
•Architect and build robust, scalable, highly available distributed infrastructure.

Pay and Benefits

Perks:Health InsuranceEquityFlexible WorkTime OffHome OfficeGlobal Gatherings

Key Requirements

•5+ years building and operating scalable, fault-tolerant distributed systems.
•Production experience with Go, C++ or Java.
•Experience with public clouds (AWS, GCP, Azure) and infrastructure services such as EC2.
•Familiarity with data storage, ingestion, and transformation tools (e.g., Spark, Kafka).
•Comfort with production on-call (PagerDuty) and debugging problems in production.

Experience:5+ yearsCloudDistributed systemsData infrastructure

Skills:Problem-solvingCommunicationCross-team collaboration

Languages:En

Tech Stack:GoC++JavaAWSGCPAzureEC2KubernetesPagerDutySparkKafka

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn