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Чёткая senior-роль в инфраструктуре у крупной компании в сфере кибербезопасности: сильная зона ответственности и современный стек, но широкий охват задач и офисный формат стоит учитывать.
?Широкий охват
Современный стек
Кибербезопасность
Работа из офиса
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (Cortex) (Cloud Security): Designing and scaling secure, highly available cloud infrastructure for a cloud security platform with an accent on Kubernetes, GCP architecture, reliability, and security-as-code. Focus on executing zero-downtime production upgrades, building enterprise CI/CD and observability systems, optimizing cloud costs, and implementing AI-driven automation.
Location: Tel Aviv-Yafo, Israel; most teams work from the office full time.
Company
hirify.global develops cybersecurity solutions focused on protecting digital environments, including a cloud security platform powered by automation and security-as-code.
What you will do
Architect, implement, and optimize scalable, highly available cloud infrastructure for enterprise environments.
Own infrastructure initiatives end to end, from strategic design and implementation through QA and production deployment.
Manage complex production environments and execute large-scale upgrades with zero downtime and high availability.
Optimize cloud costs and resource efficiency without compromising performance.
Define SLOs and SLIs, improve monitoring and observability, and lead incident response strategies.
Implement zero-trust architectures, security-as-code, AI initiatives, and Agentic solutions while mentoring engineers and partnering with product leadership.
Requirements
5–8 years of progressive DevOps experience managing high-scale systems and mission-critical production environments.
Experience taking infrastructure work end to end, including implementation, QA, production delivery, and cloud cost management.
Extensive experience designing, scaling, and managing complex Kubernetes clusters and containerized workloads, with deep GCP architectural expertise.
Experience executing production upgrades at scale with a focus on reliability and minimal disruption.
Expert-level Linux system architecture, advanced network engineering, and automation development with Python, Go, or Bash.
Mastery of Infrastructure as Code and configuration management using Terraform, Ansible, and Helm.
Experience designing secure CI/CD pipelines from scratch using GitLab CI, Jenkins, or similar enterprise tooling.
Hands-on experience with monitoring and observability solutions and distributed datastores such as BigQuery, MongoDB, Neo4j, or Elasticsearch.
Strong collaboration and leadership skills, including technical deep-dives, architectural decision-making, mentoring, and support for complex multi-service production environments.
Nice to have
Practical experience or strong technical interest in AI tools, AI initiatives, and Agentic solutions.
Culture & Benefits
Work in an in-person collaboration model, with flexibility when needed.
Contribute to a culture centered on disruption, collaboration, execution, integrity, and inclusion.
Reasonable accommodations are available for qualified individuals with disabilities or special needs.
Visa sponsorship is not available for this position.
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