Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает работу с современными платформами в AI и кибербезопасности, но широкий круг задач в стартапе и отсутствие зарплатного диапазона оставляют неопределённость по нагрузке и оплате.
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Широкая зона ответственностиЗарплата не указанаСовременный стекAI и кибербезопасностьВлияние на платформу
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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