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Senior Cloud Security Engineer (GCP/Kubernetes)

Формат работы
hybrid
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 Cloud Security Engineer (GCP/Kubernetes): Securing a large-scale data platform processing billions of events through cloud security standards, automation, and controls with an accent on GCP, Kubernetes, infrastructure security, and privacy. Focus on building policy-as-code guardrails, automating remediation, managing vulnerabilities and secrets, and leading incident response and threat modeling.

Location: Ramat Gan, Israel; hybrid

Company

hirify.global develops a large-scale data platform that processes billions of events for thousands of customers, with privacy as a core product commitment.

What you will do

  • Own the cloud security roadmap, standards, tooling, and security posture for GCP and Kubernetes environments.
  • Secure IAM, network segmentation, workloads, and data access to BigQuery, Bigtable, and other data stores.
  • Build secure-by-default foundations, including hardened base images, secure Kubernetes configurations, and policy-as-code guardrails for Kubernetes and Terraform.
  • Automate cloud misconfiguration remediation, security controls, CI/CD security fixes and alerts, secrets management, and vulnerability management.
  • Review services and designs through lightweight threat modeling, lead security incidents from containment through post-mortems, and manage external penetration tests.
  • Serve as a security expert across R&D, mentor engineers, and help teams adopt AI services safely.

Requirements

  • 8+ years of hands-on experience in security, infrastructure, or DevOps engineering, including significant production cloud security ownership.
  • Deep hands-on experience securing a public cloud environment; GCP is strongly preferred, with AWS or Azure also considered.
  • Production Kubernetes security experience with RBAC, network policies, admission control, and workload hardening.
  • Strong Terraform or similar skills and Python or Go skills, with experience building security automation beyond off-the-shelf tools.
  • Sound judgment when prioritizing risk, including deciding when to block, guide, or accept.
  • Practical use of AI to scale security work, such as LLM-assisted triage, generating and testing policy-as-code, or automating design reviews.
  • Familiarity with the security risks of LLM APIs and AI services in production, or willingness to build this expertise.

Nice to have

  • Application security or DevSecOps experience.
  • Experience securing data platforms and enforcing data access governance.
  • Previous DevOps, SRE, or Platform engineering experience before moving into security.

Culture & Benefits

  • Hybrid work environment.
  • Opportunity to take a central role in a new market.
  • Access to experienced colleagues and learning opportunities.
  • Competitive salary and excellent benefits.

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