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6 дней назад

Platform Engineer (AI)

140 000 - 230 000CAD
Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
UK/Canada
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
Platform Engineer (AI) (GCP/Kubernetes): Building and operating the paved infrastructure, Kubernetes platform, CI/CD foundations, observability, and security controls that help an AI-first engineering organization ship safely, with an accent on platform reliability, automation, and cost visibility. Focus on designing self-service infrastructure with Pulumi, reducing operational toil and pipeline flakiness, implementing automated SOC 2 controls, and optimizing GCP and LLM costs.

Location: Vancouver, British Columbia; hybrid, with office collaboration on Mondays, Wednesdays, and Thursdays

Salary: CA$140,000–CA$230,000 per year, plus equity options.

Company

hirify.global provides an AI-powered platform that generates market, competitor, and buyer insights for organizations and revenue teams.

What you will do

  • Own and extend the infrastructure paved road through reusable Pulumi components and disaster-recovery-ready GCP infrastructure.
  • Operate GKE clusters, node pools, in-cluster services, workload sizing, and policy enforcement.
  • Build and maintain CI/CD platform components, reducing pipeline duration and flaky failures across engineering.
  • Improve internal developer platform surfaces, observability, alerting, SLOs, and incident follow-up.
  • Drive GCP and LLM cost attribution, right-sizing, commitment planning, and resource cleanup.
  • Automate software supply-chain security, infrastructure identity and access, SOC 2 controls, and audit evidence.

Requirements

  • Hands-on DevOps, SRE, platform, or infrastructure engineering experience operating production systems and participating in on-call support.
  • Deep Kubernetes knowledge and practical experience with Pulumi or Terraform.
  • Strong GCP or AWS fundamentals and a background in systems engineering and software development.
  • Experience owning CI/CD pipelines used by other teams, preferably with GitHub Actions or Buildkite.
  • Experience with security tooling, threat modeling, and automated SOC 2 or enterprise security controls.
  • Fluent use of AI coding tools and experience working with AI-first teams.

Nice to have

  • Experience with platform migrations, decommissions, internal developer platforms, or self-service tooling.
  • Knowledge of LLM infrastructure, including gateways, token-cost attribution, rate limiting, and provider failover.
  • Experience with GCP, Kubernetes, Pulumi, Postgres, or Temporal.

Culture & Benefits

  • Office-first hybrid environment with hubs in Vancouver, Toronto, and London.
  • Extended health and dental coverage from the first day.
  • Employee Stock Option Plan for full-time employees.
  • Flexible vacation policy, professional development, coaching, and performance reviews.
  • Mac or PC equipment, AI-focused tooling, leadership access, and company and hub social events.

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