Senior Backend Engineer - Real-Time Voice AI (Hybrid)

Zendesk, Inc.; San Francisco (CA); Hybride; USD 145 000 - 217 000; Plein temps

Résumé du poste

Zendesk, Inc. is seeking a Senior Full Stack Engineer to build the real-time voice AI product that makes live conversations feel natural and reliable.

You will design backend services for real-time voice, integrate WebRTC and telephony, and ship end-to-end features with a focus on latency, reliability, and user experience.

Join a hybrid team and help scale AI-driven customer experiences across live support channels.

Qualifications

• 3+ years building production software with significant backend engineering experience.
• Experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs).
• Proficiency in Python or equivalent backend languages and async architectures.

Responsabilités

• Design and implement backend services powering real-time voice conversations, focusing on latency, reliability, and observability.
• Build integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services.
• Ship end-to-end product features across backend systems and user-facing web experiences when required.
• Improve platform reliability and performance: monitoring, tracing, autoscaling, and failure recovery.
• Address real-time interaction challenges such as turn-taking, interruptions, responsiveness, and graceful handoff to humans.
• Partner with product and design to deliver voice experiences that feel polished and human.

Connaissances

Backend design

Real-time systems

Latency optimization

Async architectures

Cross-functional collaboration

Outils

Python

Description du poste

Zendesk, Inc. is seeking a Senior Full Stack Engineer to build the real-time voice AI product that makes live conversations feel natural and reliable.

You will design backend services for real-time voice, integrate WebRTC and telephony, and ship end-to-end features with a focus on latency, reliability, and user experience.

Join a hybrid team and help scale AI-driven customer experiences across live support channels.