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56 минут назад

Site Reliability Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Site Reliability Engineer (AI): Maintaining and enhancing AI-powered regulatory compliance platforms with an accent on system reliability, incident management, and automation. Focus on building features supporting delivery teams, ensuring platform health, and improving observability in regulated environments.

Location: Remote (LATAM)

Company

hirify.global builds AI-powered platforms that navigate complex regulations for heavily regulated industries including energy, compliance, and government.

What you will do

  • Support project delivery by building and shipping features, integrations, and fixes end to end.
  • Maintain production platforms through upgrades, tuning, security patching, and technical debt reduction.
  • Handle incidents with first-line ownership, clear communication, and postmortem follow-up.
  • Improve observability with enhanced logging, metrics, traces, and alerting.
  • Automate repetitive tasks and maintain up-to-date documentation and runbooks.
  • Support the team through code reviews and contributing to engineering standards.

Requirements

  • Location: Remote within LATAM region
  • 2-5 years experience building and running web applications in production, comfortable with both server-side and client-side work.
  • Professional experience with Python and TypeScript or strong expertise in one with exposure to the other.
  • Solid relational database skills including schema design and query performance.
  • Experience with major cloud platforms, containers, CI/CD pipelines, and infrastructure as code.
  • Strong debugging skills in live systems and experience with incident management and on-call rotations.

Nice to have

  • Experience with background job systems, queues, or event-driven architectures.
  • Experience stabilizing inherited systems.
  • Security or compliance awareness in regulated environments such as energy, government, health, or finance.
  • Familiarity with LLM-backed features and their operational characteristics.
  • Consulting or agency background with client relationship ownership.

Culture & Benefits

  • High-impact work at the intersection of AI and critical infrastructure regulation.
  • Direct customer exposure and influence on product roadmap.
  • Small, high-velocity teams with outsized influence.
  • Modern AI-native development environment.
  • Remote-first work environment.
  • Competitive compensation.

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