Senior Cloud Data Infrastructure Engineer

🕒 February 2

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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 cutting-edge cloud-native database platform on top of the public cloud. • Work on the autoscaling and our in-house Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling. • Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations. • Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support auto-scaling use cases as well as other internal infrastructure improvements. • Architecting and building a robust, scalable, and highly available distributed infrastructure

🎯 Requirements

• 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. • Experience building operators with Kubernetes, controller runtime • Production experience with programming languages like Go, C++ or Java • You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver • Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). • Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). • You are passionate about solving data problems at Scale. • Experience with Python (uv, fastAPI) Data Science (Pandas, NumPy etc) is good to have. • You have excellent communication skills and the ability to work well within and across engineering teams.

🏖️ Benefits

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries. • Healthcare - Employer contributions towards your healthcare. • Equity in the company - Every new team member who joins our company receives stock options. • Time off - Flexible time off in the US, generous entitlement in other countries. • A $500 Home office setup if you’re a remote employee. • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

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