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4 дня назад

Senior 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
Senior Platform Engineer (AI/Kubernetes): Building and maintaining production-ready Kubernetes infrastructure for API Gateway, Agent Management, and real-time AI workloads with an accent on cloud automation, deployment reliability, and customer-facing environments. Focus on orchestrating AI infrastructure, investigating complex support issues, improving observability and operations, and applying AI-assisted automation responsibly.

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

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

Company

hirify.global develops API management and event stream infrastructure, including AI Agent Management, Agent Gateway, Model Context Protocol support, and multi-agent, multi-LLM controls for enterprise customers.

What you will do

  • Deliver hirify.global NextGen Cloud infrastructure supporting AI Gateway and Agent Management workloads.
  • Build and maintain production-ready, Kubernetes-based customer environments and Helm deployments.
  • Develop and maintain infrastructure features with the Platform Team.
  • Investigate support tickets and resolve complex customer issues with the support team.
  • 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.
  • Experience creating and managing Kubernetes clusters and Helm-based deployments.
  • Strong understanding of infrastructure and deployment automation, with experience using Terraform and Docker.
  • Experience with certificate management, continuous delivery tools such as Argo Workflows and ArgoCD, and Helm Charts.
  • Experience with at least one major cloud platform: Azure, AWS, or GCP.
  • Experience with observability tools such as Grafana and Prometheus, plus strong problem-solving and attention to detail.

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 options to work from company hubs.
  • Medical coverage, pension and 401k program options, and a stock option plan.
  • 25 days of vacation in addition to in-country national holidays, plus mental health days and a birthday day off.
  • Professional development allowance and access to AI development tools.
  • Quarterly outings and annual offsites.
  • Culture centered on passion, high standards, continuous innovation, and professional communication.

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