Senior Full Stack Engineer

🕒 May 20

🏢🏡 Austin – Hybrid

💵 $145k - $217k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of Zendesk

Zendesk

WebsiteLinkedIn

5001 - 10000 employees

Founded 2007

☁️ SaaS

🤝 B2B

💰 Grant on 2019-09

SaaS • B2B • Customer Support

Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.

📋 Description

• 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.

🎯 Requirements

• 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. • Experience with telephony stacks, SIP, media servers, or speech/ASR/TTS integrations. • Familiarity with LLMs, speech models, or conversational AI production infrastructure. • Experience on fullstack teams shipping both backend and frontend user experiences. • Expertise in diagnosing performance and reliability issues under real-time constraints.

🏖️ Benefits

• Bonus • Benefits or related incentives

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