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обновлено 13 дней назад

SRE / Platform Infrastructure Engineer Intern (AI)

800$
Формат работы
remote (только PERU)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Peru
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
SRE / Platform Infrastructure Engineer Intern (AI): Supporting and improving cloud infrastructure and distributed systems with an accent on Kubernetes, AWS, observability, automation, and reliability. Focus on troubleshooting production and staging issues, improving scalability, participating in incident reviews, and using AI tools to enhance engineering productivity.

Location: Remote in Peru

Salary: 800 USD monthly gross

Company

hirify.global is a fintech and retail technology company building interest-free installment payment solutions and shopping experiences for consumers and merchants.

What you will do

  • Build, maintain, and improve infrastructure systems using Kubernetes and AWS.
  • Monitor system performance and help troubleshoot production and staging issues.
  • Improve observability with Prometheus, Grafana, and similar tools.
  • Automate repetitive tasks and improve developer workflows with scripts and tooling.
  • Participate in on-call shadowing and incident reviews.
  • Document systems, maintain operational runbooks, and explore AI tools for engineering productivity.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related technical field.
  • Basic knowledge of AWS or other cloud platforms, Linux systems, and networking concepts.
  • Familiarity with Golang, Python, or a similar programming language.
  • Interest in distributed systems, reliability, infrastructure engineering, and automation.
  • Demonstrated experience with Claude or equivalent large language model tools is required.
  • Strong problem-solving, communication, collaboration, and learning skills.

Nice to have

  • Basic database knowledge, including MySQL or PostgreSQL.
  • Exposure to Docker, Kubernetes, monitoring, logging, Git, and CI/CD.
  • Interest in AI-assisted development tools and developer tooling.

Culture & Benefits

  • Hands-on learning alongside experienced infrastructure and reliability engineers.
  • Opportunity to work with large-scale systems and open-source technologies.
  • Fast-paced environment focused on initiative, collaboration, feedback, and continuous learning.
  • Full-time remote work arrangement.

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