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7 дней назад

Head of Infrastructure (AI)

185 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Head of Infrastructure (AI) (Kubernetes/platform engineering): Leading the Support, Observability, and Platform teams while evolving a multi-tenant Kubernetes platform for local LLM inference on GPU/TPU infrastructure with an accent on self-service automation, security, and reliability. Focus on designing hard tenant isolation, optimizing AI workloads across GCP and AWS, and building platform capabilities that let engineering teams deploy, scale, and troubleshoot independently.

Location: Austin, United States; hybrid work model

Salary: $185,000–$230,000 gross annually in Austin. Compensation for other locations is discussed during the interview process.

Company

hirify.global is a healthtech company using AI to accelerate drug development and improve access to medical treatments through clinical research technology.

What you will do

  • Lead and grow the Support, Observability, and Platform teams.
  • Transform operations-focused infrastructure into a self-service, automation-first platform service.
  • Own a complex multi-tenant Kubernetes architecture running local LLM inference on GPU and TPU workloads across GCP and AWS.
  • Build security into the platform through tenant isolation, workload identity, secrets management, and policy enforcement.
  • Improve observability and reliability through SLOs, incident response, and proactive capacity management.
  • Partner with engineering, data, security, and customer-facing stakeholders to shape technical roadmaps and platform capabilities.

Requirements

  • 8+ years of infrastructure, platform, or SRE experience, including 3+ years leading technical teams.
  • Experience transforming infrastructure teams into platform-as-a-product organizations.
  • Expert production Kubernetes experience with multi-tenancy, GPU/TPU scheduling, autoscaling, and strong isolation boundaries.
  • Strong knowledge of RBAC, network policies, workload identity, secrets management, and policy-as-code.
  • Experience with GCP, AWS, SQL, vector databases, and AI workloads.
  • Experience with Terraform, ArgoCD, CI/CD, observability tools, container security, Linux, networking, Python, and Bash.

Nice to have

  • Experience running LLM or ML inference infrastructure at scale.
  • Familiarity with AWS equivalents of the listed GCP services.
  • Knowledge of SOC 2, ISO 27001, ENS, or GxP frameworks.

Culture & Benefits

  • International, collaborative, and diverse work environment.
  • Hybrid work model with flexibility.
  • MacBook provided.
  • Medical, dental, and vision insurance options, including family support benefits.
  • Company events and a pet-friendly office.

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