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 via cases, chat, Slack, community interactions, and phone communications.

• Offer high-quality guidance within the stipulated 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 functionalities.

• Assist in mentoring, training, and sharing knowledge within the team.

• Report bugs to product engineering and ensure customer feedback is communicated after fixes are deployed.

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

• Establish trusted relationships with colleagues, customers, and partners in the developer ecosystem.

• Provide support to customers across EMEA and, when necessary or during overlapping coverage, 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 supported by 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.

• Comfort in working within a global, remote-first team focused on SLA coverage, on-call responsibilities, 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.

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

• A customer-first mindset.

• Experience with open-source technologies is advantageous.

• Prior experience with ClickHouse is a plus.

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

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

• Knowledge of 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 costs.

• Stock options provided to every new team member.

• Flexible time off policies in the US.

• Generous time-off entitlements for employees in other countries.

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

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