> Markdown version of [/jobs/ext/3975571-full-stack-software-engineer-support-operations](https://www.wearedevelopers.com/jobs/ext/3975571-full-stack-software-engineer-support-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Software Engineer, Support Operations - **Company:** ClickHouse, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Distributed Systems, Github, Routing, Node.Js, Salesforce.Com, Server Administration, Software Engineering, Systems Integration, TypeScript, Apex Code, Pylon Synchronization Software, ReactJS, Large Language Models, Git, Slack, Data Objects, Vertica, Zendesk, Webhooks, Pagerduty - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/full-stack-software-engineer-support-operations-san-francisco-ca--d8fa9402-40c7-465f-9fb3-882b8194a2cb ## About the Role Software Engineering, Software Administration, Operational Support, Customer Support/Service, Operational Support, Customer Experience, Customer Relations, Artificial Intelligence (AI), Needs Assessment, Machine Tool, * 3-5 years building and shipping full-stack software in production, with tools like TypeScript/JavaScript, Node.js, and React (or comparable) * Experience developing with APIs, webhooks, and integrations between distributed systems * Hands-on experience close to support: as a support or technical support engineer, or by building tools or integrations for a support, CS, or RevOps team * Confidence with Git and safe, version-controlled deployment workflows * The ability to translate operational needs into solutions that non-engineers can follow * A shipper's mindset: self-driven, curious, and comfortable owning a problem end-to-end in a remote, globally distributed team * Comfort using AI tools day to day in how you build, with a clear sense of where to trust them, * Experience building LLM-powered features in production (routing, retrieval, evaluation, or observability) * Salesforce platform experience (Apex, LWC, Flows, custom objects) or certifications; if you don't have it, the appetite to get there quickly * Support and incident tooling: Pylon, incident.io, PagerDuty, Zendesk, Slack APIs, GitHub APIs * Experience with ClickHouse or other analytical databases * Experience in an early-stage or greenfield environment, or embedded in a support, RevOps, or business-systems function