Lead Voice Infrastructure Engineer
Stuut · San Francisco Bay Area · 1 wk ago
On-siteInformation Technology$250k–$290k/yrFull-time
What You’ll Do
- Design, build, and operate telephony services that manage phone numbers, SIP trunks, carrier integrations, and call routing at scale
- Develop reliable signaling and media systems that bridge traditional telephony with realtime voice infrastructure and AI pipelines
- Build and improve core voice workflows: outbound calling, inbound routing, warm transfer, voicemail handling, DTMF interaction, and human handoff
- Work closely with speech and AI systems across STT, TTS, turn-taking, interruption handling, and agent orchestration
- Improve call quality, latency, reliability, and debuggability across the voice stack
- Build internal APIs and platform primitives that make voice capabilities accessible to product and engineering teams
- Instrument voice workflows so we can measure business outcomes: answer rates, transfer success, voicemail outcomes, and resolution rates
- Work with carriers and external vendors to expand coverage, improve routing performance, and handle regulatory or operational requirements
- Dive into production issues when needed, including packet captures, signaling traces, vendor debugging, and incident response
You Might Be a Fit If You...
- Are a strong senior software engineer with experience building distributed backend systems
- Have meaningful experience with telephony systems: SIP, RTP, PSTN connectivity, trunks, number provisioning, or call routing
- Are comfortable working on realtime media systems where latency, reliability, and observability matter
- Can debug across layers, from APIs and backend services down to protocols, signaling flows, and packet-level issues
- Think beyond code and understand how infrastructure decisions affect product behavior, developer experience, and end-user trust
- Are pragmatic, hands-on, and able to move between architecture and direct execution
- Have experience with WebRTC, realtime media platforms, or speech systems (streaming STT, TTS, turn detection, conversational voice agents)
- Have worked with contact center workflows, IVR systems, or enterprise telephony integrations
- Have experience with Go, Python, C, or C++
- Are excited about building the infrastructure that will define AI-powered business communication over the next decade