Clickhouse

Senior Cloud Data Infrastructure Engineer

Netherlands

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Database, Cloud Infrastructure, Data TechnologiesIndustries

Requirements

Candidates should possess at least 5 years of relevant software development experience building and operating scalable, fault-tolerant, distributed systems, along with experience building operators with Kubernetes and a controller runtime. Production experience with programming languages such as Go or C++ is required, and familiarity with a public cloud provider (AWS, GCP, or Azure) and their infrastructure as a service offerings is essential. Experience with Data Storage, Ingestion, and Transformation tools like Spark or Kafka is also desired, as is a passion for solving data problems at scale.

Responsibilities

This Senior Cloud Data Infrastructure Engineer will build a cutting-edge Cloud Native platform on top of the public cloud, improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations, and work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling. They will collaborate closely with the ClickHouse core development team and other data plane teams, partnering with them to support auto-scaling use cases and other internal infrastructure improvements, and architecting and building a robust, scalable, and highly available distributed infrastructure.

Skills

Kubernetes
Operators
Go
C++
AWS
GCP
Azure
EC2
Spark
Kafka
Python
FastAPI
Pandas
NumPy
Troubleshooting
On-Call
Distributed Systems
Fault Tolerance
Scalability
Data Storage
Data Ingestion
Data Transformation

Clickhouse

High-speed column-oriented database management system

About Clickhouse

ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.

Key Metrics

San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Benefits

Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend

Risks

Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.

Differentiation

ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.

Upsides

Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.

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