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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$200к-275к/год
$200к$230кмедиана$280к
По похожим ролям (50) ~ $230к/год
88
Крутая вакансия
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Чёткая зона ответственности, сложные платформенные задачи, современная инфраструктура и финансирование стартапа делают вакансию привлекательной, хотя работа в быстром режиме 0-to-1 может быть менее предсказуемой.
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Режим стартапаСовременные технологииПерспективная сфераЗона ответственностиНедавнее финансирование
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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