Senior Cloud Data Infrastructure Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $150k - $230k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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This company has sponsored H1B visas in the past.

👻 Ghost score 7%

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ClickHouse

WebsiteLinkedInAll Job Openings

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 • Build systems that generate better statistics and recommendations • Collaborate with the ClickHouse core development team and 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 • PagerDuty on-call experience and production debugging • Strong problem-solving ability • Expertise with AWS, GCP or Azure and infrastructure-as-a-service offerings such as EC2 • Experience with data storage, ingestion and transformation using Spark, Kafka or similar tools • Experience working with distributed systems • Excellent communication skills and ability to work across engineering teams

🏖️ Benefits

• Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites

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