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Senior Infrastructure Engineer (AI)

Формат работы
remote (только Argentina)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Infrastructure Engineer (AWS/GCP/Kubernetes): Improving the reliability, security, and scalability of customer-facing cloud infrastructure serving millions of page views per hour with an accent on multi-cloud operations, infrastructure as code, networking, and observability. Focus on managing Kubernetes fleets, building AI-powered infrastructure automation, and designing resilient multi-region systems.

Location: Remote-first in Argentina

Company

hirify.global is an agentic web marketing platform that helps modern marketing teams build, manage, and optimize high-performing web experiences.

What you will do

  • Own and evolve the cloud platform supporting product and engineering teams across AWS and GCP.
  • Manage compute infrastructure, EKS fleets, serverless systems, networking, and cloud operations.
  • Design and maintain infrastructure-as-code foundations and reusable platform components.
  • Improve observability through dashboards, alerts, service-level objectives, and actionable on-call workflows.
  • Build AI-powered infrastructure automation for policy as code, drift detection, and LLM-assisted runbook generation.
  • Contribute to the culture and growth of an expanding infrastructure team.

Requirements

  • 5+ years of experience owning and operating customer-facing cloud infrastructure with little to no downtime.
  • Deep hands-on AWS experience and strong knowledge of cloud operations.
  • Experience managing Kubernetes clusters at scale, including upgrades, node groups, autoscaling, and add-on lifecycle management.
  • Experience with Pulumi or Terraform and infrastructure-as-code practices.
  • Experience working in multi-region or multi-cloud environments across AWS or GCP.
  • Valid work authorization is required for the country of employment.

Nice to have

  • Experience with Karpenter, Cluster Autoscaler, or other Kubernetes-native scaling tools.
  • Experience with OpenTelemetry, Datadog, Prometheus, or Grafana.
  • Experience building AI-assisted infrastructure tooling for cost optimization, anomaly detection, or policy as code.
  • Experience with multi-region architecture, data residency, regional failover, or latency-based routing.

Culture & Benefits

  • Collaborative environment with cross-functional work and shared ownership.
  • Equity grants for permanent employees.
  • Medical, dental, and vision coverage for full-time employees and dependents.
  • Paid parental leave, flexible vacation, paid holidays, and a sabbatical program.
  • Mental health resources, localized work and wellness stipends, and retirement savings support.
  • Eligibility for an annual bonus program for full-time, permanent, non-commission employees.

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