В Snowflake четко очерченная роль в корпоративной безопасности, высокая зарплата и работа с масштабными системами и AI-безопасностью; основные компромиссы - гибридный формат и широкий охват платформ.
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Актуальные задачиПонятная рольВысокая зарплатаМасштаб компании
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Security Engineer (Endpoint Security): Deploying and scaling endpoint security capabilities across a multi-cloud, multi-SaaS enterprise with an accent on EDR, DLP, MDM, secure browsers, and AI security tools. Focus on automating detection and response, investigating endpoint incidents, analyzing fleet risks, and driving zero-trust vulnerability remediation.
Location: Bellevue, Washington, United States; hybrid
Salary: $176K–$253K per year
Company
Snowflake is an enterprise software company building and operating data and security capabilities across multi-cloud and multi-SaaS environments.
What you will do
Deploy, maintain, and scale endpoint security solutions including EDR, DLP, secure browsers, MDM, and AI security tools across Windows, macOS, Linux, multi-cloud, and multi-SaaS environments.
Build automation and tooling with software engineering and AI to reduce operational toil, improve detection fidelity, and accelerate response.
Monitor security events, investigate incidents, and create detection and prevention controls for endpoint compromise and data exfiltration.
Perform endpoint fleet risk and threat analyses, then drive vulnerability remediation through resolution using zero-trust principles.
Develop and roll out endpoint protection policies, procedures, and standards aligned with relevant compliance frameworks.
Collaborate with Security, Engineering, IT, and Product teams, provide technical guidance, and contribute to architecture decisions, threat modeling, reviews, and documentation.
Requirements
3+ years of hands-on information security experience, such as security engineering, detection, threat intelligence, or incident response, with a focus on endpoint security.
Proficiency in at least one programming language such as Python, Go, Java, C, C++, or JavaScript, plus experience using AI-assisted development.
Hands-on experience deploying and maintaining endpoint security tools such as EDR, DLP, MDM, and secure browsers across Windows, macOS, and Linux.
Solid understanding of operating systems, network protocols, application platforms, endpoint security concepts, and security best practices.
Experience owning well-scoped technical projects from design through delivery with limited supervision.
A bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
Nice to have
Experience with AI security solutions or securing AI-assisted workflows.
Experience with AWS, GCP, or Azure infrastructure and enterprise SaaS platforms at scale.
Relevant certifications such as CISSP, CEH, or Security+.
Ability to explain security concepts clearly to technical and non-technical audiences.
Culture & Benefits
Work with Engineering, IT, Product, and Security teams in a globally distributed, multi-cloud, multi-SaaS environment.
Build enterprise security capabilities at significant scale and speed alongside experienced engineers.
Operate in a dynamic environment that values experimentation, low-ego collaboration, innovation, and challenging conventional thinking.
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