Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA
ClickHouse · EMEA (Remote)
Posted 21 days ago
or apply directly on ClickHouse's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days ClickHouse's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of ClickHouse's roles list one
- Ghost-job risk at ClickHouse
- low 0 stale, 2 reposted of 179 open
- Hiring momentum
- 212 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from ClickHouse's own greenhouse board since 2026-08-03. Full hiring picture for ClickHouse.
About this role
As a Technical Customer Support Engineer at ClickHouse, you will provide support for customers using ClickHouse and Langfuse, addressing technical issues and solutions related to databases and AI observability. Your role will involve troubleshooting, developing solutions, mentoring colleagues, and collaborating with various teams to enhance customer experience and product functionality.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of ClickHouse as an employer.
What you need
- Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure)
- Strong software engineering fundamentals (CS, Data Science degree, or comparable hands-on project experience)
- Comfort reading code, working with data pipelines (e.g., Kafka, Spark), or debugging cloud infrastructure (AWS/GCP/Azure)
- Genuine curiosity for LLM application development with hands-on experience building, debugging, or evaluating LLM-powered products using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK
- Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs (OpenAI, Anthropic), or OpenTelemetry-style tracing
- Strong written communication across registers, with a customer-first mindset
Nice to have
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with ClickHouse
- Experience with Langfuse specifically, or with LLM observability/eval tooling more broadly
- Experience with AWS, GCP, or Azure
- Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ
What you get
- Flexible work environment - remote-friendly
- Employer contributions towards your healthcare
- Equity in the company - stock options for new team members
- Flexible time off in the US, generous entitlement in other countries
- $500 Home office setup for remote employees
- Opportunities for in-person connection at company-wide offsites
Worth weighing
- No salary listed for roles outside the United States
- Role involves global on-call coverage and async communication
- Position may require deep technical integration questions directly within customer codebases
Summarised from ClickHouse's posting. Read the full original.
Listed by ClickHouse on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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