Cloud Database Infrastructure Engineer – EMEA

🔥 1 minute ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 15%

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ClickHouse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $400M Series D on 2026-01

SaaS • Enterprise • Artificial Intelligence

ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.

📋 Description

• Build a cloud-native database platform on top of the public cloud • Work on the in-house Kubernetes operator for seamless infrastructure management • Improve the metrics pipeline and build systems that generate better statistics and recommendations • Collaborate with the ClickHouse core development team and other data plane teams on infrastructure use cases and internal infrastructure improvements • Architect and build robust, scalable and highly available distributed infrastructure

🎯 Requirements

• 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems • Production experience with Go, C++ or Java • Experience with PagerDuty on-call and debugging production systems • Expertise with a public cloud provider such as AWS, GCP 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 • Ability to solve data problems at scale • Excellent communication skills and ability to work well within and across engineering teams

🏖️ Benefits

• Flexible work environment and remote-friendly work arrangement • Employer contributions towards healthcare • Stock options/equity in the company • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites/global gatherings

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