Technical Customer Support Engineer, AI Infrastructure & Observability
New
C
ClickHouseData Infrastructure
Support customers across EMEA and globally in the Americas and APJ, Global coverage rotationFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLGCPTypeScriptAzureClickhouseLangChain
Requirements
- Hands-on experience with databases, OLAP, or distributed systems such as ClickHouse or SQL engines.
- Strong software engineering fundamentals, including experience with data pipelines or debugging cloud infrastructure (AWS/GCP/Azure).
- Comfort working in a global, remote-first team environment aligned to SLA coverage and on-call needs.
- Experience building, debugging, or evaluating LLM-powered products using Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.
- Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs, or OpenTelemetry-style tracing.
- Strong written communication skills for Slack troubleshooting and long-form technical documentation.
- Genuine curiosity for LLM application development.
- Ability to work asynchronously in a distributed team setting.
- Experience with OSS and open-source technologies (bonus).
- Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ (bonus).
Responsibilities
- Support and guide ClickHouse and Langfuse users via cases, chat, Slack, community, and phone calls.
- Deliver 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 open-source for users and community via documentation, blogs, and webinars.
- Collaborate with Support, Engineering, Go-to-Market, and Product Management teams to define user-required functionality.
- Assist with mentoring, training, and knowledge sharing across the team and customer base.
- Escalate bugs to product engineering and manage customer communication through resolution.
- Analyze complex technical integration and implementation questions within customer codebases.
- Build relationships with colleagues, customers, and partners within the developer ecosystem.
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