Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чёткая зона ответственности для senior-специалиста и работа с GCP и Kubernetes на крупной платформе делают вакансию сильной; при этом не хватает подробностей о составе команды и повседневной поддержке.
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Большая зона ответственностиСовременный стекБезопасность ИИПонятные задачиКлючевая роль
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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