Release Engineer – Data Plane Internal Tooling, Productivity

Job not on LinkedIn

🔥 13 hours ago

🇸🇬 Singapore – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 19%

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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

• Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters while ensuring safety, correctness, and minimal customer impact • Own the full release pipeline, from pre-upgrade validation and staged rollouts to post-upgrade monitoring and incident response • Investigate and resolve production issues during a regular on-call rotation, including snowflake clusters and automation edge cases • Build and improve internal tooling and automation for reliable, repeatable large-scale database operations • Collaborate with core database and cloud infrastructure teams to identify operational pain points and solve them • Support and educate engineering teams using internal tools • Coordinate and run upgrades and keep tens of thousands of clusters healthy in production

🎯 Requirements

• 5+ years of experience operating stateful distributed systems in production, such as databases, message queues, or storage systems • Hands-on experience running upgrades or maintenance operations on live production data stores at scale • Strong production debugging skills and comfort investigating unfamiliar systems under pressure • Experience with cloud infrastructure, including AWS, Azure, or GCP • Experience with Kubernetes • Software development experience in Go, or strong experience in another language with genuine willingness to learn Go • Experience with ClickHouse preferred

🏖️ 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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