Cloud Database Infrastructure Engineer – EMEA

🔥 12 hours ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

Where this job comes from

Posted on ClickHouse's careers page, not through a job board

First seen by Remote Rocketship 12 hours ago

Still open on ClickHouse's site. Checked 3 hours ago.

Logo of ClickHouse

ClickHouse

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 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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