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2 дня назад

Staff Platform Engineer (AI Infrastructure)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Mexico
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
Staff Platform Engineer (AI Infrastructure) (Kubernetes/Terraform): Designing and operating reliable, scalable, and secure infrastructure for AI manufacturing applications and automation systems with an accent on platform automation, cloud infrastructure, and observability. Focus on building CI/CD and GitOps workflows, managing Kubernetes and infrastructure as code, and ensuring security, uptime, and performance through on-call operations.

Location: Remote, associated with San Francisco, California

Company

hirify.global develops AI-enabled robotics, software, and data center infrastructure manufacturing systems for hyperscalers, neoclouds, and OEMs.

What you will do

  • Design, implement, and maintain reliable, scalable, and secure infrastructure for applications and automation systems.
  • Own and improve platform engineering tools and services, including documentation and cross-team communication.
  • Automate infrastructure provisioning, configuration management, and software deployment pipelines.
  • Manage CI/CD systems and GitOps workflows for reliable software delivery.
  • Implement logging, monitoring, alerting, and other observability solutions to maintain uptime and performance.
  • Enforce security practices, prepare for incident response, and participate in the platform team’s on-call rotation.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, or a related technical field.
  • At least 5 years of experience in platform engineering, DevOps, or Site Reliability Engineering.
  • Strong experience with physical infrastructure, including networking equipment and servers.
  • Hands-on coding experience with Python and Shell scripting, plus solid Linux internals and system administration knowledge.
  • Experience with public cloud providers such as AWS, Azure, or GCP.
  • Deep knowledge of Kubernetes, including self-hosted and managed environments, and Helm; proficiency with Terraform and Ansible.

Nice to have

  • Experience with bare-metal provisioning using MaaS or similar tools.

Culture & Benefits

  • Remote workplace within the company’s San Francisco-based organization.
  • Opportunity to work on AI-enabled robotics, software, and data center infrastructure manufacturing.
  • Platform engineering responsibilities span physical infrastructure, cloud systems, automation, security, and observability.

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