Technical Customer Support Engineer, AI Infrastructure & Observability

🔥 12 hours ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 IT Support

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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

🏖️ 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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