6 дней назад
Platform Engineer (AI)
140 000 - 230 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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