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Senior Infrastructure Engineer (AI)

190 000 - 210 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Senior Infrastructure Engineer (GCP/Kubernetes): Building and scaling secure, highly available cloud infrastructure and DevOps systems for an AI-powered manufacturing quality platform with an accent on GCP, Kubernetes, Terraform, and CI/CD automation. Focus on designing observability and reliability practices, defining SLOs and SLIs, hardening cloud security, and supporting incident response for production systems.

Location: Remote within the United States; listed locations are New York, Chicago, San Francisco, and Seattle

Salary: $190,000–$210,000 per year, plus equity

Company

hirify.global develops an AI-powered quality intelligence platform that helps industrial, aerospace, consumer, and medtech manufacturers identify and resolve quality issues and improve customer outcomes.

What you will do

  • Design, build, and maintain highly available, scalable, and secure cloud infrastructure on GCP.
  • Own the Kubernetes container orchestration platform and Terraform infrastructure-as-code practices.
  • Build and improve CI/CD pipelines, developer tooling, and deployment automation.
  • Establish observability through logging, metrics, alerting, and tracing, and lead incident response.
  • Define and track SLOs and SLIs while driving reliability and continuous improvement.
  • Contribute to security hardening, compliance, and cloud cost optimization.

Requirements

  • 4+ years of experience in DevOps, SRE, or infrastructure engineering.
  • Hands-on experience with GCP services such as Cloud Run, GKE, Cloud SQL, and Pub/Sub.
  • Strong Kubernetes skills, including cluster management, networking, scaling, and troubleshooting.
  • Solid experience writing modular, reusable, production-grade Terraform infrastructure.
  • Experience building CI/CD pipelines, developer tooling, and observability systems using tools such as Datadog, Prometheus, or Grafana.
  • Ability to participate in a shared on-call rotation for production systems.

Nice to have

  • Experience using agents to accelerate delivery.
  • Experience managing infrastructure for FedRAMP environments.
  • Experience at a venture-backed startup.

Culture & Benefits

  • Collaborative, feedback-oriented, ownership-driven environment with direct communication.
  • Fast-paced work focused on meaningful manufacturing and AI applications.
  • Respect for time off and personal boundaries while supporting occasional intense work on difficult problems.
  • Generous time off, competitive benefits, equity, and a lunch stipend.

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