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3 дня назад

Site Reliability Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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
Site Reliability Engineer (AI): Building and improving platform systems, CI/CD pipelines, developer tooling, and agent harnesses for large-scale, real-time conversational AI traffic with an accent on platform reliability, observability, and autonomous-agent infrastructure. Focus on designing scalable Kubernetes and cloud systems, improving deployment ergonomics, and managing incidents while shaping AI-native platform engineering patterns.

Location: Remote

Company

hirify.global builds AI-powered conversation intelligence and AI agents for enterprise contact centers, using large language models and voice AI to handle customer interactions at scale.

What you will do

  • Shape the design and implementation of platform engineering, site reliability, cloud infrastructure, developer experience, and cost-visibility domains.
  • Build systems that reduce operational toil and keep production infrastructure available and operable under large-scale, real-time conversational AI traffic.
  • Extend the agent harness with CI, sandboxes, guardrails, validation, and agent-first evaluation loops.
  • Own and improve CI/CD pipelines and developer tooling, including build and test performance, deployment ergonomics, caching, and self-service paths for new services.
  • Participate in the on-call rotation and incident management process; non-business-hours pages are rare.

Requirements

  • 6+ years of experience in software development enablement roles.
  • End-to-end ownership of CI/CD platforms, including architecture, caching, and developer self-service.
  • Effective use of AI tools such as Claude and Cursor for coding, troubleshooting, and reasoning, with sound judgment about where not to use them.
  • Experience making code changes in Node/TypeScript and using Python and Terraform for automation in a Kubernetes/Helm environment.
  • Practical experience with observability, including logs, metrics, tracing, monitoring, alerting, incident management, and related tooling.
  • Experience working effectively in fully remote teams.

Nice to have

  • Experience building harnesses or platforms for autonomous AI agents.
  • Production-at-scale experience with GCP.
  • Experience with telephony and SIP architectures, particularly FreeSWITCH.

Culture & Benefits

  • Distributed remote work with flexibility for personal life events and calendar management.
  • Company-wide offsites and smaller team gatherings.
  • Funding for conferences, books, courses, and other learning activities.
  • Flexible vacation, paid sabbatical after five years, comprehensive benefits, and physical and mental wellness support.
  • Competitive compensation and equity in a fast-growing AI company.

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