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Platform DevOps Engineer

Jeen.ai·ישראל·enhe
לא צויןמשרה מלאהDevOps & SREEnterprise Software

Own the cloud-native infrastructure, deployment workflows, production reliability, and operational standards for a growing SaaS product.

תחומי אחריות

  • Own development, test, and production cloud infrastructure.
  • Design and build scalable, secure, and reliable infrastructure for a SaaS product.
  • Lead CI/CD, deployment, and release-management processes.
  • Manage and scale Kubernetes, Docker, Helm, Terraform, and public-cloud environments.
  • Establish observability, monitoring, alerting, and incident-response practices.
  • Participate in on-call rotations, resolve production incidents, lead postmortems, and implement preventive improvements.
  • Partner with R&D to improve performance, scalability, reliability, and security.
  • Develop automation and scripting tools and promote AI-assisted development practices.
  • Create operational processes, infrastructure standards, and documentation for the growing DevOps function.

דרישות

  • At least 3 years of hands-on DevOps or platform engineering experience.
  • Experience owning production systems in a SaaS company.
  • Experience working independently as a sole DevOps engineer, technical lead, or infrastructure owner.
  • Hands-on experience with public-cloud, cloud-native infrastructure.
  • Strong experience with Kubernetes, Docker, Helm, Terraform, CI/CD, GitHub Actions, GitOps, and Argo CD.
  • Experience with Prometheus, observability, monitoring, alerting, on-call operations, incident response, and reliability improvement.
  • Strong scripting skills.
  • Ability to provide technical leadership and drive cross-functional initiatives.
  • High proficiency in Hebrew and English.
  • A relevant degree in computer science, engineering, or information systems, or equivalent practical experience.

יתרון

  • Experience with Azure.
  • Experience scaling production infrastructure for a SaaS product from the ground up.
  • Experience with AI products, LLM workloads, or voice and conversational AI.
  • Experience with cloud security, IAM, secrets management, and infrastructure hardening.
  • Experience with cloud cost optimization.
  • Experience managing or mentoring DevOps or platform engineering professionals.
  • Experience using AI-assisted development tools.

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