8 часов назад
Senior Infrastructure Engineer (AI)
120 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Infrastructure Engineer (AI) (Kubernetes, ML infrastructure): Building distributed infrastructure for millions of real-time AI-powered phone conversations with an accent on low-latency voice processing, ML inference, and enterprise telephony integrations. Focus on designing scalable streaming architectures, solving reliability and failover challenges, and maintaining enterprise-grade uptime and security.
Location: San Francisco, United States
Salary: $120,000–$200,000 per year, plus equity and bonus
Company
develops AI-powered phone agents for enterprises and is based in San Francisco.
What you will do
- Design and build scalable distributed systems with Kubernetes for high-volume, real-time voice processing.
- Develop and optimize ML infrastructure, including training pipelines and real-time inference serving across multiple regions.
- Integrate the platform with enterprise telephony systems, SIP trunks, and VoIP infrastructure.
- Implement monitoring, alerting, incident response, and reliability systems for 24/7 enterprise-grade uptime.
- Anticipate and solve infrastructure scaling challenges as call volumes grow.
- Implement security best practices and compliance requirements for regulated enterprise customers.
Requirements
- 5+ years of experience building and scaling distributed systems.
- Deep knowledge of cloud infrastructure; AWS or GCP preferred.
- Experience with high-throughput, low-latency workloads, streaming, real-time processing, or similar systems.
- Strong understanding of infrastructure fundamentals, including TLS and load-balancing strategies.
- Experience at fast-growing companies and the ability to work across multiple areas.
- Familiarity with Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, and Nvidia hardware.
Nice to have
- Experience with telephony systems such as SIP, VoIP, or WebRTC.
- Background in ML infrastructure, model serving, or GPU computing.
- Experience with real-time audio or video processing.
Culture & Benefits
- Healthcare, dental, and vision coverage.
- Meaningful equity in a fast-growing startup.
- Tools and resources needed to perform the role.
- Office in Levi's Plaza, San Francisco, with rooftop views.
- Fast-paced startup environment with hands-on problem-solving and significant ownership.
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