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2 дня назад

Platform Engineer (AI)

160 000$
Формат работы
hybrid
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

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TL;DR
Platform Engineer (AI) (Kubernetes/Cloud Infrastructure): Building and maintaining production-ready Kubernetes-based cloud environments for API Gateway, Agent Management, and AI workloads with an accent on infrastructure automation, observability, and customer-facing reliability. Focus on deploying scalable AI gateway infrastructure, orchestrating complex support investigations, and improving operations through AI-driven automation.

Location: Denver, United States; hybrid work with options to work from a company hub

Salary: Up to $160,000 per year, depending on experience

Company

hirify.global develops API management, event stream, and AI Agent Management infrastructure for enterprise customers.

What you will do

  • Deliver production-ready Kubernetes-based cloud environments for API Gateway and Agent Management workloads.
  • Build and maintain infrastructure features, deployment automation, and customer-facing platform environments.
  • Investigate support tickets and collaborate with support teams to resolve complex customer issues.
  • Create knowledge articles and share technical expertise through internal TechTalks.
  • Improve operational processes and tools, including AI-driven automation for infrastructure and support workflows.

Requirements

  • 5+ years of professional experience in infrastructure management.
  • Strong experience creating and managing Kubernetes clusters and Helm-based deployments.
  • Experience with Terraform, Docker, certificate management, and continuous delivery tools such as Argo Workflows and ArgoCD.
  • Cloud platform experience with Azure, AWS, or GCP.
  • Experience with observability tools including Grafana and Prometheus.
  • Strong problem-solving skills, attention to detail, resilience, and commitment to continuous learning.

Nice to have

  • Experience with API Management or Identity and Access Management platforms.
  • Familiarity with AI/ML infrastructure, GPU workload orchestration, AI Gateway, or LLM-serving infrastructure.
  • Knowledge of networking, service mesh, and traffic management patterns.

Culture & Benefits

  • Hybrid culture with company hubs and global collaboration.
  • Medical coverage, pension and 401k program options, and a stock option plan.
  • 25 days of vacation plus in-country national holidays, three mental health days, and a birthday day off.
  • Professional development allowance and access to AI development tools.
  • Quarterly outings and annual offsites.

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