About the role
We're looking for a Senior/Staff Backend Engineer with 5+ years of experience who has built or been a core contributor to a database, queue, or large-scale data system. You should be AI-native, bias-to-action by default, and have a track record of scaling infrastructure under real load. This is a top priority hire as Hamming scales from 30K to 100K+ concurrent voice agent calls and begins building its own purpose-built database for conversational AI -- a system that will become a multi-year moat for the company. Bonus points if you have voice or audio pipeline experience, or come from an observability or data infrastructure company.
Responsibilities
- Build our conversational AI database -- design and implement a purpose-built database for voice agent call data, thinking deeply about storage structure, query paths, and retrieval at scale
- Scale simulation infrastructure from 30K to 200K+ concurrent calls, architecting for graceful degradation and 99.99% uptime
- Own core backend services in TypeScript/Node.js and Python orchestrating LiveKit, Temporal, STT/TTS, and LLM tooling for real-time voice agents
- Harden production monitoring pipelines so telephony events, recordings, and outcomes propagate reliably across services at massive scale
- Deepen observability with OpenTelemetry/SigNoz and trace-first practices -- make "what happened?" a 30-second question, not a war room
- Ship the smallest working element in week one, learn from it, and build from there -- we deploy to prod 4x/day
