5 дней назад
Infrastructure Engineering Intern (AI Platform Operations)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineering Intern (AI Platform Operations) (AI, Kubernetes, Linux): Documenting, testing, and improving the infrastructure and operational processes behind an internal AI platform with an accent on dependency mapping, runbooks, process-gap analysis, and technical communication. Focus on tracing platform dependencies, automating repetitive setup and validation tasks, establishing AI tool usage baselines, and maintaining documentation that engineers and employees can follow.
Location: Remote, Mexico
Company
provides an enterprise Autonomous Knowledge Platform for connecting data, knowledge, business context, and AI across on-premises and cloud environments.
What you will do
- Map the internal AI platform infrastructure, including hosts, services, dependencies, and integration points.
- Write and test operational runbooks for deployments, node maintenance, connector failures, and recovery procedures.
- Trace request flows and build dependency inventories showing service usage and failure behavior.
- Identify process gaps, recommend improvements, and complete smaller improvements independently.
- Establish usage baselines for internal AI tools and contribute to platform projects through tool evaluation, test environments, and automation.
- Maintain the AI Enablement intranet and publish release notes, platform updates, guides, and project summaries.
Requirements
- Currently pursuing a bachelor’s degree or higher in Computer Science, Computer Systems Engineering, Information Technology, or a related field, with a university collaboration agreement available.
- Working knowledge of Linux command-line operations and scripting in Python or Bash.
- Familiarity with Git, including branching and pull requests.
- Professional-level technical writing in English for a global audience.
- Availability for the full 12–16 week internship program.
Nice to have
- Exposure to Docker, Kubernetes, or public and private cloud platforms.
- Coursework or practical experience with DNS, TLS, load balancing, and health checks.
- Experience using LLM-based tools and documentation-as-code workflows such as Markdown in Git.
Culture & Benefits
- Flexible work model and people-first culture.
- Mentorship from the Head of AI Enablement & Strategy.
- Direct collaboration with infrastructure and platform engineers.
- Hands-on exposure to enterprise infrastructure, including Kubernetes-based platforms, virtualization, and load balancing.
- Ownership of a documentation set, runbook library, and process-gap register used across the company.
- Opportunity to publish technical content for employees across .
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →