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10 дней назад

DevOps Team Lead (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
DevOps Team Lead (AI) (AWS/GCP/Kubernetes): Leading the DevOps function and evolving large-scale multi-cloud infrastructure with an accent on cloud operations, infrastructure as code, and AI-powered workflows. Focus on building the DevOps team, modernizing CI/CD and GitOps practices, optimizing cloud costs, and scaling production and development environments.

Location: Tel-Aviv District, Israel; hybrid with 3 days from home

Company

hirify.global develops AI technology that identifies and optimizes mobile assets to help turn them into profitable businesses.

What you will do

  • Build and lead a DevOps team focused on ownership, collaboration, and technical excellence.
  • Lead the planning, technical decisions, execution, and outcomes of large-scale cloud infrastructure projects.
  • Modernize CI/CD, GitOps, monitoring, and other DevOps practices across the R&D organization.
  • Use AI-powered tools and agentic workflows to improve R&D efficiency.
  • Design and maintain cloud environments with Infrastructure as Code.
  • Operate and evolve environments based mainly on AWS, GCP, Kubernetes, Terraform, Terragrunt, Node, and Golang.

Requirements

  • Proven success managing DevOps teams in hyper-growth technology companies.
  • Hands-on expertise with AWS or GCP production environments at scale.
  • Hands-on expertise with Kubernetes and large-scale production and development environments.
  • Experience with FinOps and cloud cost optimization.
  • Experience developing backend microservices and APIs.
  • Proactive approach and motivation to build new systems and practices.

Nice to have

  • Experience with multi-region or multi-cloud deployments.
  • Experience applying AI extensively across the DevOps lifecycle.

Culture & Benefits

  • Hybrid work arrangement with 3 days from home.
  • Global environment with highly skilled engineering teams.
  • Opportunity to influence cloud-native architecture and operational scale.

Hiring process

  • Technical interview.
  • Home assignment.
  • Final interview, HR interview, referral calls, and offer.

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