Senior Cloud Data Platform Engineer (Remote)

ClickHouse; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Job summary

ClickHouse is expanding its Cloud Scaling team to build a cutting-edge cloud-native database platform on the public cloud. You will work on our in-house Kubernetes operator to enable seamless infrastructure management and shape a robust, distributed, highly available system.

You will collaborate with the core ClickHouse development team and other data plane squads to optimize data storage, ingestion, and transformation. This role emphasizes reliability, scalability, and cross-team communication.

Qualifications

• 5+ years of experience building and operating scalable, distributed systems.
• Experience with Go, C++, or Java in production environments.
• Familiar with on-call in production and debugging.
• Experience with public cloud providers (AWS, GCP, Azure).
• Experience with data storage, ingestion, and transformation (Spark, Kafka).

Responsibilities

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

Skills

Distributed systems

Go

C++

Java

On-call / PagerDuty

Public cloud (AWS/GCP/Azure)

Kubernetes

Spark

Kafka

Communication

Tools

Kubernetes

Spark

Kafka

PagerDuty

Job description

ClickHouse is expanding its Cloud Scaling team to build a cutting-edge cloud-native database platform on the public cloud. You will work on our in-house Kubernetes operator to enable seamless infrastructure management and shape a robust, distributed, highly available system.

You will collaborate with the core ClickHouse development team and other data plane squads to optimize data storage, ingestion, and transformation. This role emphasizes reliability, scalability, and cross-team communication.