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7 дней назад

Senior DevOps Platform Engineer - CTI (Cybersecurity)

Формат работы
remote (только Israel)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 DevOps Platform Engineer - CTI (Cybersecurity) (Kubernetes/AWS/Terraform): Building and operating internal platforms, cloud and on-prem infrastructure, and microservices for CTI products with an accent on scalability, security, and AI/ML workloads. Focus on designing Kubernetes environments, automating deployments with CI/CD and Infrastructure-as-Code, and ensuring observability and resilience in high-scale production systems.

Location: Remote, Tel Aviv-Jaffa, Israel

Company

hirify.global is a startup building sovereign AI and national cyber-defense products for governments, including platforms for securing critical systems and analyzing sensitive data.

What you will do

  • Own platform and infrastructure work end to end, from design and implementation through production operation.
  • Design and build internal platforms, tools, and services used by engineering teams.
  • Make architectural decisions across infrastructure, applications, networking, security, and data.
  • Build and maintain cloud and on-prem environments, including Kubernetes platforms and infrastructure for AI/ML systems.
  • Develop CI/CD pipelines, deployment automation, and Terraform-based Infrastructure-as-Code.
  • Implement IAM, secrets management, network policies, monitoring, and observability for scalable and resilient production systems.

Requirements

  • 5+ years of experience in DevOps or Platform Engineering.
  • Production-grade Python development with object-oriented programming and Bash scripting.
  • Experience building platforms and infrastructure from scratch.
  • Hands-on AWS and Kubernetes experience, including cluster deployment, operation, and troubleshooting.
  • Experience with Terraform and Docker, plus Linux, networking, and security fundamentals.
  • Experience with high-scale production systems and infrastructure for AI/ML workloads.

Nice to have

  • Cybersecurity experience.
  • On-premises, private cloud, or air-gapped deployment experience.
  • Model serving and ML tooling such as MLFlow, plus GPU scheduling on Kubernetes.
  • Observability tools such as Prometheus, Grafana, or Loki.

Culture & Benefits

  • Remote workplace with broad ownership and a wide technical scope.
  • Opportunity to build new systems and influence the future direction of the platform.
  • Short path from ideas to production implementation.
  • Hands-on startup environment with room to shape the role.

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