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2 дня назад

Lead Security & IT Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
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

Lead Security & IT Engineer (AI): Designing and operating security and IT infrastructure for a rapidly growing AI and physical sciences lab with an accent on identity, endpoint security, and automation. Focus on building secure internal workflows, managing cloud/network environments, and ensuring compliance for research operations.

Location: Must be based in Menlo Park, California (Hybrid)

Company

An AI and physical sciences startup building state-of-the-art models for novel scientific discoveries.

What you will do

  • Design, build, and operate the company's entire security and IT architecture.
  • Manage identity, endpoint, network, and SaaS security systems.
  • Implement zero-touch provisioning and lifecycle management for macOS, Windows, and Linux devices.
  • Codify security policies and workflows using automation, IaC, and scripting.
  • Collaborate with research, infrastructure, and operations teams to secure laptops, clusters, and science labs.
  • Administer core tools including Google Workspace, Slack, and GitHub with a focus on permission hygiene.

Requirements

  • Experience managing identity systems like Okta or Entra with robust RBAC and lifecycle automation.
  • Expertise in endpoint management at scale for macOS, Windows, and Linux.
  • Proficiency in security deployments including EDR, disk encryption, and firewall policies.
  • Experience with IaC and automation using tools like Terraform, Python, or Bash.
  • Background in managing IAM and user integrations in AWS, GCP, or Azure.
  • Deep understanding of zero-trust networking, DNS, certificates, and network segmentation.

Culture & Benefits

  • Fast-paced environment within a well-funded, rapidly growing lab.
  • High ownership culture where team members identify and solve problems independently.
  • Focus on learning new tools and scientific domains.
  • Minimal bureaucracy with an emphasis on autonomy.

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