Technical Customer Support Engineer, AI Infrastructure & Observability

This is a fully remote position, open to applicants in Europe.

📋 Description

• Provide support and guidance to ClickHouse and Langfuse users, customers, and prospects through various channels including cases, chat, Slack, community forums, and phone calls.

• Deliver personalized assistance within the required SLAs as part of a global on-call coverage rotation.

• Create solutions based on ClickHouse Cloud and ClickHouse open-source for documentation, knowledge bases, blogs, meetups, webinars, and training sessions.

• Collaborate with global Support Services, Engineering, Go-to-Market, and Product Management teams to define necessary functionality.

• Participate in mentoring, training, and knowledge sharing initiatives.

• Escalate bugs to product engineering and ensure customer communication after fixes are deployed.

• Address complex technical integration and implementation inquiries directly within customer codebases.

• Foster trusted relationships with colleagues, customers, and partners within the developer ecosystem.

• Support customers across EMEA and, when necessary or during coverage overlaps, globally in the Americas and APJ.

⛳️ Requirements

• Practical experience with databases, OLAP, or distributed systems, including ClickHouse, SQL engines, or cloud-native SaaS infrastructure.

• Solid software engineering fundamentals, demonstrated through a CS or Data Science degree, or equivalent hands-on project experience.

• Ability to read and understand code.

• Experience with data pipelines such as Kafka or Spark, or troubleshooting cloud infrastructure like AWS, GCP, or Azure.

• Comfortable working in a global, remote-first team that adheres to SLA coverage, on-call obligations, and asynchronous communication.

• A genuine interest in LLM application development.

• Hands-on experience in building, debugging, or assessing LLM-powered products using Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.

• Familiarity with LLM observability or evaluation tools, prompt workflows, model provider APIs such as OpenAI and Anthropic, or OpenTelemetry-style tracing.

• Excellent written communication skills for concise Slack troubleshooting and clear long-form documentation or guides.

• A customer-first mindset.

• Experience with open-source technologies is a plus.

• Experience with ClickHouse is a plus.

• Experience with Langfuse or LLM observability/evaluation tools is a plus.

• Experience with AWS, GCP, or Azure is a plus.

• Experience with Kafka, Kinesis, Spark, or RabbitMQ is a plus.

• Fluent in English.

🏝️ Benefits

• Flexible work environment with a remote-friendly work arrangement.

• Employer contributions towards healthcare.

• Stock options available for every new team member.

• Flexible time off policy in the US.

• Generous time-off entitlement in other countries.

• USD$500 home office setup allowance for remote employees.

• Opportunities to connect with colleagues during company-wide offsite events.