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Technical Customer Support Engineer, AI Infrastructure & Observability

đŸ”„ 11 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ’» IT Support

Where this job comes from

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

First seen by Remote Rocketship 11 minutes ago

Logo of ClickHouse

ClickHouse

501 - 1000 employees

Founded 2021

☁ SaaS

🏱 Enterprise

đŸ€– Artificial Intelligence

đŸ”„ 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

‱ Support and guide ClickHouse and Langfuse users, customers, and prospects through cases, chat, Slack, community, and phone calls ‱ Deliver high-touch guidance within required SLAs as part of a global on-call coverage rotation ‱ Develop solutions based on ClickHouse Cloud and ClickHouse open-source for documentation, knowledge bases, blogs, meetups, webinars, and training ‱ Collaborate with global Support Services, Engineering, Go-to-Market, and Product Management teams to define required functionality ‱ Assist with mentoring, training, and knowledge sharing ‱ Escalate bugs to product engineering and close the loop with customers after fixes ship ‱ Address deep technical integration and implementation questions directly within customer codebases ‱ Build trusted relationships with colleagues, customers, and developer-ecosystem partners ‱ Support customers across EMEA and, when needed or coverage overlaps, globally in the Americas and APJ

🎯 Requirements

‱ Hands-on experience with databases, OLAP, or distributed systems, including ClickHouse, SQL engines, or cloud-native SaaS infrastructure ‱ Strong software engineering fundamentals through a CS or Data Science degree, or comparable hands-on project experience ‱ Comfort reading code ‱ Experience working with data pipelines such as Kafka or Spark, or debugging cloud infrastructure such as AWS, GCP, or Azure ‱ Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and asynchronous communication ‱ Genuine curiosity for LLM application development ‱ Hands-on experience building, debugging, or evaluating LLM-powered products using Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK ‱ Familiarity with LLM observability or evaluation tooling, prompt workflows, model provider APIs such as OpenAI and Anthropic, or OpenTelemetry-style tracing ‱ Strong written communication across concise Slack troubleshooting and clear long-form documentation or guides ‱ Customer-first mindset ‱ Experience with open-source technologies is a bonus ‱ Experience with ClickHouse is a bonus ‱ Experience with Langfuse or LLM observability/evaluation tooling is a bonus ‱ Experience with AWS, GCP, or Azure is a bonus ‱ Experience with Kafka, Kinesis, Spark, or RabbitMQ is a bonus ‱ Fluent English speaker

đŸ–ïž Benefits

‱ Flexible work environment and remote-friendly work arrangement ‱ Employer contributions towards healthcare ‱ Stock options for every new team member ‱ 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

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