ClickHouse

ClickHouse

ClickHouse provides a fast open source column-oriented database management system that enables users to generate real-time analytical data reports through SQL queries, catering to the needs of industries requiring efficient data processing and analysis.

IT Services
51-250
Founded 2021
$300M raised

Description

  • Build agents that investigate incidents, surface anomalies, and help explain why production is broken.
  • Develop a reusable library of skills that encode debugging, root cause analysis, ClickHouse querying, and incident response workflows.
  • Own the agent stack end to end, including context engineering, tool design, evaluations, tracing, and cost management.
  • Build MCP servers, SDKs, and integrations that let customer agents read telemetry, take action, and remain observable.
  • Collaborate openly with OSS contributors and customers to debug issues and feed learnings back into the product.
  • Tackle production constraints such as latency, cost, context window limits, evaluation coverage, and hallucinations on real telemetry.
  • Design and improve agentic systems for observability and incident response workflows.
  • Help make ClickStack a strong platform for AI workloads in production.

Requirements

  • 5+ years of software engineering experience, including 1–2 years building LLM-powered systems or agents in production.
  • Strong backend experience with TypeScript/Node.js and/or Python.
  • Hands-on experience building agents with multi-step tool use, planning, memory, and error recovery.
  • Experience designing skills or workflow encodings, and knowing when to use a skill, a tool, or both.
  • Experience with MCP, including building servers, designing tools, and thinking through auth, scoping, and observability.
  • Strong evaluation practices, including golden sets, LLM-as-judge, and regression detection.
  • SQL proficiency and ability to write ClickHouse queries directly.
  • Comfort with Docker and Kubernetes.
  • Active involvement in open source and the developer community.
  • Preferred: experience building or operating production agents in observability, incident response, or SRE.
  • Preferred: strong opinions on agent observability, including tracing, cost attribution, eval pipelines, and OpenTelemetry for agents.
  • Preferred: experience with prompt caching, context compaction, or similar techniques for production telemetry volumes.
  • Preferred: experience with columnar databases and event ingestion pipelines.
  • Preferred: contribution to or maintenance of an open-source AI or agent project.
  • Preferred: familiarity with Go, Rust, or other systems languages for integrations and high-throughput infrastructure.

Benefits

  • Remote-friendly, globally distributed work environment operating in over 20 countries.
  • Employer contributions toward healthcare.
  • Equity in the company through stock options for new team members.
  • Flexible time off in the US and generous leave entitlements in other countries.
  • $500 home office setup allowance for remote employees.
  • Opportunities to connect with colleagues at company-wide offsites and global gatherings.
  • Salary range with potential premium market pay in locations such as the San Francisco Bay Area and New York City Metro Area.

Interested in this position?

Apply directly on the company website

Apply Now

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