Job Description
Built and personally owned real- time or event- driven backend systems at consumer scale (1M+ daily active users). Can point to the services they owned and what happened when they broke.
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Experience building with AI, replacing workflow parts with agents, and using AI coding tools (Codex, Claude, Cursor) daily
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Has designed or re- architected backend systems to be agent- friendly with verification and evaluation built in. LLMs in a real production path, not a demo.
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Strong distributed- systems fundamentals: queues, relational + analytical stores, observability, Kubernetes. Stack is Go/Python on GKE, but HM does not filter on language. Scaling judgment matters more.
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Scaling backend systems that serve 1M+ daily active users across real-time pipelines, live video infrastructure, and notification delivery
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Driving AI adoption across the backend designing systems to be more agent-friendly, building verification pipelines, and proposing where agents can run autonomously
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Working daily with iOS, Android, ML, Data, and Mission Control teams to ship measurable improvements in latency, correctness, and cost