Senior/Staff Backend Engineer
Engineering · Posted 4 months ago
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 H...
- Way of working
- Remote
- Location
- Austin, TX, Remote - United States, Remote - Canada, Remote - Europe
- Pay range
- $160,000 to $240,000
- Level
- Staff
- Experience
- 5 to 15 years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- AI/ML · under 20 people
Skills that matter here
What you would be doing
- 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
The full description
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
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
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