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11 дней назад

Senior Platform Engineer (AI)

150 000 - 300 000$
Формат работы
remote (только USA)/onsite
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

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TL;DR
Senior Platform Engineer (AI): Building secure cloud foundations, infrastructure-as-code, CI/CD workflows, and self-service platform capabilities for distributed GPU-intensive AI workloads with an accent on Kubernetes, observability, reliability, and secure software delivery. Focus on designing reusable guardrails, progressive rollouts, SLOs, and platform controls while solving complex infrastructure challenges across research and product teams.

Location: San Francisco or remote within the United States

Salary: $150K–$300K cash compensation with significant equity

Company

hirify.global is building an open superintelligence stack with infrastructure and tools for training, evaluating, and deploying advanced AI models.

What you will do

  • Build reusable infrastructure-as-code and reliable CI/CD workflows for platform services.
  • Design cloud foundations covering compute, networking, identity, secrets, and service delivery.
  • Develop self-service platform capabilities, templates, secure defaults, guardrails, and progressive rollout and rollback patterns.
  • Define observability standards for metrics, logs, dashboards, and alerting using tools such as Grafana.
  • Own platform SLOs, error budgets, and reliability priorities in partnership with service teams.
  • Lead complex platform projects from technical design through adoption and steady-state operation.

Requirements

  • 5+ years of experience in infrastructure, platform, or security-focused engineering.
  • Hands-on experience with Terraform or similar infrastructure-as-code tooling.
  • Strong knowledge of cloud networking, IAM, secrets management, and CI/CD.
  • Experience designing secure software delivery environments from development through production.
  • Production experience with Kubernetes or similar container orchestration platforms.
  • Ability to debug across infrastructure layers, make sound trade-offs under ambiguity, communicate clearly, and lead cross-functional projects.

Nice to have

  • Experience operating ML or LLM training and inference infrastructure.
  • Exposure to GPU infrastructure and distributed systems.
  • Experience with zero-trust access patterns.
  • Experience supporting compliance or audit-readiness programs.

Culture & Benefits

  • Flexible work arrangement with remote work or a San Francisco office.
  • Full visa sponsorship and relocation support.
  • Significant equity in addition to cash compensation.
  • Professional development budget for courses and conferences.
  • Regular team off-sites and conference attendance.

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