Top Tech Jobs & Startup Jobs

As a Data Scientist for Finance Forecasting, you'll develop and deploy forecasting models, establish measurement frameworks, and generate actionable insights for leadership, while collaborating with Data Engineering and Revenue Operations.

Lead the reliability and operations for ClickHouse's Postgres integration, automate deployments, develop infrastructure-as-code, and mentor engineers.

As a Senior Full-Stack Engineer, you'll design and build complex UI systems and own customer-facing workflows, collaborating on APIs and system integrations while maintaining production quality.

Provide 24x7 technical support and onsite customer visits in Japan; handle tickets, pre/post-sales technical activities, POCs, knowledge sharing, and collaborate with Support, Engineering, and Product teams.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

The Senior Software Engineer will build and manage Postgres capabilities within ClickHouse, focusing on backend services, automation, API development, and collaboration with various teams to enhance operational excellence.

As a Senior Software Engineer, you will design and build backend services for Postgres integration with ClickHouse, ensuring operational excellence and contributing to automation and tooling for database management.

Build and maintain high-throughput, reliable database integrations to replicate data into ClickHouse. Debug production issues, improve observability and reliability, participate on-call, collaborate with customers and cross-functional teams, and influence product roadmap.

The Senior Software Engineer will enhance ClickHouse's cloud platform with Postgres capabilities, managing database clusters and contributing to operational tooling. Responsibilities include backend service design, API development, and collaborating with teams for performance and reliability.

Build and ship production agents and reusable skills on a petabyte-scale observability platform. Own end-to-end agent stack (context engineering, tooling, MCP servers, SDKs, integrations), improve agent observability, evaluate models, and optimize for latency, cost, and reliability while collaborating openly with OSS contributors and customers.