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8 дней назад

Principal Cloud Engineer - AI Platform

175 000 - 250 000$
Формат работы
remote (только USA)/hybrid
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
Principal Cloud Engineer - AI Platform (GCP/AI): Building and governing the cloud foundation for production AI agents with an accent on secure networking, workload identity, platform observability, and cost control. Focus on designing scalable GCP infrastructure, enabling safe LLM access, automating secrets and policy controls, and leading incident response for reliable AI operations.

Location: United States — remote or Omaha, Nebraska — hybrid

Salary: $175,000–$250,000 per year

Company

hirify.global provides a residential construction management SaaS platform for contractors, covering financials, schedules, team workflows, and client relationships.

What you will do

  • Design and maintain infrastructure for production AI agents, including workload identity, gateways, network isolation, and sensitive-data redaction.
  • Lead GCP networking and security architecture across private connectivity, zero-trust egress, service perimeters, and IAM controls.
  • Develop reusable Terraform modules, CI/CD pipelines, and temporary environments that enable safe, independent product-team deployments.
  • Establish a centralized LLM access platform covering routing, virtual keys, provider onboarding, observability, and cost attribution.
  • Document architectural and vendor decisions, including total cost of ownership, trade-offs, and platform constraints.
  • Lead critical incident response and blameless postmortems, translating findings into improvements in security, resilience, and operational readiness.

Requirements

  • 10+ years of experience architecting enterprise-grade GCP environments, including GCP networking, VPC Service Controls, Private Service Connect, IAM perimeters, and Workload Identity.
  • Experience with infrastructure as code and production AI or ML workloads such as model serving, agent runtimes, or inference gateways.
  • Practical expertise in machine-to-machine authorization, service accounts, short-lived credentials, certificate-based identity, token delegation, and on-behalf-of authorization.
  • Experience owning production incidents, making deployment decisions under pressure, and communicating with executives during outages.
  • Experience at a B2B SaaS company and with agent development frameworks, agent runtime platforms, and related tooling.
  • Experience with automated secrets rotation, policy as code, and governance that limits unauthorized AI deployments.

Culture & Benefits

  • Remote and hybrid work options, including access to the Omaha headquarters.
  • Medical, dental, vision, life insurance, and short- and long-term disability coverage.
  • 401(k) plan with matching contributions, paid time off, paid holidays, personal days, parental leave, and paid sabbaticals.
  • Volunteer time off, wellness programs, and an onsite fitness center.
  • Technology reimbursement for home-working equipment and free daily lunches at headquarters.

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