Technical Customer Support Engineer, AI Infrastructure & Observability

ClickHouseCloud Data Analytics

EMEA (Remote)Full-Time

Salary not disclosed

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Job Details

Hands-on experience with databases, OLAP, or distributed systems such as ClickHouse or SQL engines.
Strong software engineering fundamentals, including experience reading code and debugging cloud infrastructure (AWS, GCP, or Azure).
Experience working with data pipelines like Kafka, Spark, Kinesis, or RabbitMQ.
Genuine curiosity and hands-on experience with LLM application development using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.
Familiarity with LLM observability, evaluation tooling, prompt workflows, or model provider APIs.
Experience with OpenTelemetry-style tracing.
Strong written communication skills for technical documentation and troubleshooting.
Ability to work effectively in a global, remote-first team environment.
Experience with OSS and open-source technologies is a plus.

Support and guide users via cases, chat, Slack, community forums, and phone calls.
Deliver high-touch guidance within required Service Level Agreements (SLAs) as part of a global on-call coverage rotation.
Develop solutions based on ClickHouse Cloud and open-source software for documentation, knowledge bases, blogs, and training.
Work closely with Support Services, Engineering, Go-to-Market, and Product teams to define product functionality.
Assist with mentoring, training, and sharing knowledge with colleagues and customers.
Escalate and resolve bugs by coordinating with product engineering teams.
Conduct deep technical integration and implementation reviews within customer codebases.
Build trusted relationships with colleagues, customers, and partners across the developer ecosystem.

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