AI Product Engineer - ClickStack
Toronto, ONClickHouse
5+ ansClickHouse needs 5+ years of software engineering experience, including 1–2 years building LLM-powered agents in production. Candidates need strong TypeScript/Node.js or Python skills, SQL proficiency, experience with MCP and evals, and familiarity with Docker and Kubernetes.
ClickHouse, Docker, Kubernetes, MCP servers, OpenTelemetry
Senior Software Engineer - Cloud Infrastructure - (Canada Remote)
Toronto, ONClickHouse
5+ ansCandidates need 5+ years of experience building distributed systems and strong programming skills in Go, C/C++ or Java. They also need hands-on cloud, Kubernetes and infrastructure-as-code experience.
Kubernetes, Terraform, CloudFormation, Istio, Envoy
Full Stack Software Engineer - Control Plane
Toronto, ONClickHouse
6+ ansCandidates need 6+ years of software engineering experience, including 3+ years in cloud or platform engineering, and strong skills in TypeScript, Node.js and React. ClickHouse also values experience with ClickHouse, CI/CD pipelines and analytics-heavy applications.
Git, AWS, Azure, GCP
Director of Product, ClickHouse Cloud
Toronto, ONClickHouse
10+ ansCandidates need 10+ years of product management experience, ideally in cloud infrastructure, enterprise SaaS or database products. They must understand distributed systems and databases well enough to discuss them with engineers, and communicate clearly with executives, customers and the public.
ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift
Senior Software Engineer (Typescript / Frontend) - AI/ML
Toronto, ONClickHouse
5+ ansCandidates need 5+ years of production software engineering experience and strong frontend skills in TypeScript, JavaScript and React. Exposure to AI/ML technologies, the ability to own features from concept to production, and clear communication with diverse stakeholders are also required.
TypeScript, JavaScript, React, ClickHouse, vector databases
Senior Software Engineer - Integrations - AI/ML
Toronto, ONClickHouse
7+ ansCandidates need 7+ years of software development experience, including hands-on work as a Data Scientist or ML Engineer. They must have built production Python connectors or integrations, applied AI/ML in production data engineering, and have strong SQL and OLAP database knowledge.
ClickHouse, Python, Pandas, NumPy, Pydantic, LangChain