Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA
ClickHouse · Remote · EMEA ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Hybrid work model
- EMEA focus
- ClickHouse & Langfuse
- Global on-call rotation
- Stock options included
Join the global Support Engineering team to provide technical assistance for ClickHouse and Langfuse ecosystems. You will handle inquiries ranging from core database requests to AI tracing and evaluation challenges.
The role requires collaborating with engineering and product teams to resolve complex technical issues. You will also contribute to documentation, community support, and internal knowledge sharing.
What you'll do
- Support users via cases, chat, Slack, community forums, and phone calls
- Deliver guidance within defined Service Level Agreements
- Participate in a global on-call coverage rotation
- Create documentation, knowledge base articles, and training materials
- Collaborate with Engineering and Product teams on user requirements
- Mentor colleagues and share technical knowledge with customers
- Escalate bugs to engineering and follow up until resolution
- Assist customers with deep technical integration and codebase questions
What you'll need
- Hands-on experience with databases, OLAP, or distributed systems
- Familiarity with ClickHouse, SQL engines, or cloud-native SaaS
- Strong software engineering fundamentals or comparable project experience
- Ability to read code and debug cloud infrastructure on AWS, GCP, or Azure
- Experience working in global, remote-first teams with async communication
- Hands-on experience building or debugging LLM-powered products
- Proficiency with Python, TypeScript, LangChain, or LlamaIndex
- Knowledge of LLM observability, eval tooling, or OpenTelemetry-style tracing
- Strong written communication skills for troubleshooting and documentation
Nice to have
- Experience with open-source technologies as a user or contributor
- Prior experience with ClickHouse database
- Specific experience with Langfuse or LLM observability tools
- Experience with AWS, GCP, or Azure cloud platforms
- Knowledge of data pipeline technologies like Kafka, Spark, or RabbitMQ
Stack
- ClickHouse
- Langfuse
- Python
- TypeScript
- LangChain
- LlamaIndex
- Kafka
- Spark
- AWS
- GCP
- Azure
How you'll work
- Hybrid work arrangement
- Primary focus on EMEA region
- Global on-call rotation required
- Async communication within distributed team
What you get
- Employer contributions towards healthcare
- Stock options for every new team member
- Flexible time off in the US
- Generous leave entitlement in other countries
- USD 500 home office setup budget for remote employees
- Opportunities for company-wide offsites and gatherings