Areas of ownership:Own the architecture and technical roadmap for Parloa's Voice/VoIP infrastructure, including SIP trunking, media handling, and real-time audio pipelines
Design for low-latency, high-availability voice at enterprise scale — across global telephony carriers and providers
Drive technical decisions on protocols and standards (SIP, SDP, RTP/SRTP, RTCP, WebRTC, ICE, STUN/TURN) and real-time media transport
Partner with AI/ML teams to optimise the integration between voice infrastructure and conversational AI models (ASR, TTS, turn-taking, barge-in)
Diagnose and resolve deep, systemic issues in call quality, latency, jitter, and packet loss across distributed, multi-region deployments
Define and uphold engineering standards for reliability, observability, and security across the voice stack
Mentor senior and staff engineers, acting as a technical multiplier across the organisation
Evaluate and integrate with telephony providers, carriers, and SIP trunk vendors as Parloa expands into new markets
Represent Parloa's technical voice expertise in conversations with enterprise customers and partners where needed
Who you are:10+ years of engineering experience, including 5+ years hands-on building, operating, or debugging production Voice/VoIP, SIP, WebRTC, or carrier-grade voice infrastructure
Strong knowledge of SIP, SDP, RTP/SRTP, RTCP, WebRTC, ICE, and real-time media transport protocols
Hands-on understanding of audio codecs and media behavior, including Opus, G.711/G.722, codec negotiation/transcoding, DTMF/RFC2833, jitter buffers, packetization, and codec-related quality/latency trade-offs
Experience building or operating large-scale, distributed, real-time systems with strict latency and availability requirements
A track record of owning architecture for complex systems and driving technical decisions with broad organisational impact
Experience working with telephony carriers, SIP trunk providers, or PSTN integrations at scale
Deep, hands-on ownership of production SIP-based voice infrastructure at enterprise scale (e.g. Kamailio, FreeSWITCH, Asterisk, pjsip)
Strong systems programming skills in one or more of Go, C, C++ or Rust, with the ability to work at the media/transport layer.
Comfort operating in cloud environments (AWS, GCP, or Azure) and with container orchestration (Kubernetes)
Excellent communication skills — able to explain complex technical trade-offs to engineers and non-engineers alike
A genuine interest in AI and conversational technology, and how voice infrastructure underpins it
Experience instrumenting and operating voice-quality observability — call-quality metrics (e.g. MOS), per-leg call tracing, and diagnosing jitter, latency, and packet loss from telemetry
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