Full Stack Software Engineer, Support Operations

ClickHouse is hiring a Full Stack Software Engineer to build systems that connect customers with the teams who support them. The role develops routing, AI-powered customer experiences, internal platforms, integrations, and automation, and owns these systems through production and ongoing improvement.

Responsibilities:

• Intelligent routing and decision systems. Software that decides where work should go and who should handle it, weighing many signals at once, and is built to adapt as the business scales
• AI-powered customer experiences. Customer-facing and internal experiences that understand what someone needs, recommend the best next step, and know when to hand off to a human
• Internal platforms and tooling. Applications that give Support, RevOps, and GTM teams the leverage to work faster and more accurately, built to production standards
• Integrations and data flow. Connections across Salesforce, live chat, incident management, Slack, GitHub, and more, so workflows and data move cleanly between systems
• Automation and observability. Systems that remove repetitive work, surface what’s breaking, and give teams confidence in what they’re running
• Across all of it, you’ll partner with core Engineering to ship to production, and own what you build: code review, testing, monitoring, and continuous improvement

Requirements:

• 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
• 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