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2 дня назад

Platform Engineer (AI)

200 000 - 275 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Platform Engineer (AI): Building and operating Kubernetes-based BYOC infrastructure that enables Archie, an AI engineer agent for the physical world, to run reliably across customer environments with an accent on multi-cloud deployment, security, and distributed systems. Focus on designing repeatable installation and upgrade tooling, solving deployment challenges in restricted networks, and establishing observability for systems outside direct control.

Location: Remote in the US or Canada, or San Mateo, California; remote employees work onsite in the San Mateo office one week out of six.

Salary: $200,000–$275,000 per year, plus equity.

Company

hirify.global is building Archie, an AI engineer agent for the physical world, using a custom agentic harness, structured design representations, continual skills learning, and custom post-trained models.

What you will do

  • Own and evolve Archie’s BYOC deployment model across customer environments, including distribution, installation, updates, and integration with P-1’s central systems.
  • Build and operate Kubernetes-based infrastructure across multiple clouds and customer setups.
  • Create repeatable deployment and operations tooling with Helm, GitOps, or similar approaches.
  • Implement secure and reliable updates and upgrades for restricted or locked-down network environments.
  • Collaborate with product, research, and forward-deployed engineering teams to turn requirements into platform capabilities.
  • Debug production deployments and establish observability, monitoring, and debugging patterns for distributed systems.

Requirements

  • Production experience building and operating Kubernetes-based systems.
  • Experience designing infrastructure with IaC tools such as Terraform, Pulumi, or similar.
  • Experience implementing CI/CD or GitOps workflows across environments.
  • Comfort working across AWS, GCP, and Azure and understanding their core primitives.
  • Experience with strong security and networking requirements, including VPCs, identity, and encryption.
  • Ability to own problems end-to-end and operate effectively in ambiguous 0-to-1 environments.
  • Continual development of AI-assisted approaches for technical work.

Culture & Benefits

  • Startup environment with a fast pace and strong execution focus.
  • Meaningful ownership over infrastructure and platform decisions.
  • Healthcare, dental, and vision coverage.
  • 401(k) match and unlimited PTO.
  • Equity ownership.
  • Relocation support is available.

Hiring process

  • 30-minute introductory call.
  • 45-minute biographical or behavioral interview, followed by a 60-minute technical interview.
  • 30-minute CEO interview.

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