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ClickHouse

Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA

RemoteEMEA
Published
Role
Support
Salary not disclosed
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Open to Anywhere in EMEA. Set where you work from to check your eligibility.

No BS summary

ClickHouse is seeking a Technical Customer Support Engineer to join its global Support Engineering team. This hybrid role will support customers across EMEA and globally, handling technical issues and solutions for both ClickHouse database requests and Langfuse AI observability.

Core skills

ClickHouse/SQLLangfuseLLM

Required skills

AWS/GCP/AzurePython/TypeScriptLangChain/LlamaIndex/Vercel AI SDKOpenAI/AnthropicOpenTelemetry

Optional skills

AWSGCPAzureKafkaKinesisSparkRabbitMQ

What you'll do

  • Supporting and guiding our ClickHouse & Langfuse users, customers, and prospects via cases, chat, Slack, community, and phone calls, delivering 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 ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training.
  • Work closely with our global Support Services, Engineering, Go-to-Market, and Product Management teams to help define the functionality required by users and customers.
  • Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers.
  • Escalate bugs to product engineering and close the loop with the customer once shipped.

What they require

  • Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure).
  • Strong software engineering fundamentals (CS, Data Science degree, or comparable hands-on project experience) with comfort reading code, working with data pipelines (e.g., Kafka, Spark), or debugging cloud infrastructure (AWS/GCP/Azure).
  • Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and async communication.
  • Genuine curiosity for LLM application development with hands-on experience building, debugging, or evaluating LLM-powered products using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.
  • Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs (OpenAI, Anthropic), or OpenTelemetry-style tracing to unblock AI-product teams.

Benefits

  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • A $500 Home office setup if you’re a remote employee.

open-source Column-oriented DBMS (columnar database management system) for online analytical processing (OLAP)

Cloud ComputingStartupclickhouse.com
Salary not disclosed