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8 часов назад

Senior Infrastructure Engineer (AI)

120 000 - 200 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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