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Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA
Customer successRemote — EMEA
Published on 2026-08-26
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About this role
Provide technical support to ClickHouse and Langfuse users, customers, and prospects across EMEA, with occasional global coverage. The role combines database and infrastructure troubleshooting with support for LLM tracing, evaluation, and observability, along with customer integrations and technical guidance.
About the company
ClickHouse is a high-performance columnar database built for real-time analytics on large volumes of data.
The team
Global Support Engineering team, within Support Services.
Stack
ClickHouseLangfuseSQLKafkaSparkAWSGCPAzure
What you'll do
- Support customers and prospects through cases, chat, Slack, community channels, and calls while meeting SLAs and participating in global on-call coverage.
- Troubleshoot database, infrastructure, and AI observability issues, including technical integrations in customer codebases.
- Create and share solutions through documentation, knowledge-base articles, blogs, webinars, training, and community events.
- Partner with Support, Engineering, Go-to-Market, and Product teams to improve products and support practices.
- Escalate product bugs and follow up with customers when fixes are released.
- Mentor and share knowledge with colleagues, users, and customers.
What we're looking for
- Hands-on experience with databases, OLAP systems, distributed systems, or cloud-native SaaS infrastructure.
- Strong software engineering fundamentals, including comfort reading code and debugging cloud infrastructure or data pipelines.
- Experience building, debugging, or evaluating LLM-powered applications.
- Familiarity with LLM observability, evaluation tools, prompt workflows, model APIs, or tracing.
- Strong written communication and a customer-focused approach.
- Comfort working remotely across time zones with SLA and on-call responsibilities.
Nice to have
- Experience with ClickHouse or Langfuse.
- Experience with open-source technologies or communities.
- Experience with AWS, GCP, or Azure.
- Experience with Kafka, Kinesis, Spark, or RabbitMQ.
Benefits
- Employer contributions toward healthcare.
- Company stock options for new team members.
- Flexible time off in the US and generous time off in other countries.
- USD $500 home-office setup allowance for remote employees.
- Opportunities to attend company-wide offsites.