Роль чётко сфокусирована на облачной безопасности, обнаружении угроз и реагировании на инциденты, а также предлагает понятный путь развития; работа с AI-инфраструктурой добавит востребованный опыт.
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Современный стекИнфраструктура для ИИПонятное развитие
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Текст:
Hirify AI/Оригинал
TL;DR
Security Engineer II, Product & Platform Security (Cloud Security): Protecting Nscale's cloud platforms, hyperscale GPU clusters, and production environments with an accent on cloud posture management, threat triage, telemetry coverage, and incident investigation. Focus on reconstructing incidents, performing host, container, and cloud forensics, and turning findings into stronger controls and detection coverage.
Location: Houston, New York, San Francisco, or Seattle, United States
Salary: $130,000–$160,000 USD base salary per year, plus potential bonus, equity, and/or commission.
Company
Nscale provides cost-effective, high-performance GPU cloud infrastructure for AI start-ups and enterprise customers.
What you will do
Review cloud security posture findings across cloud platforms and hyperscale GPU infrastructure, validate technical and business impact, prioritize severity, and drive remediation to closure.
Triage production security alerts and threats, classify and enrich findings, escalate incidents when warranted, and document decisions and impact.
Assess logging and telemetry across cloud, Kubernetes, hosts, and production services; close coverage gaps and support reliable SIEM pipelines.
Contribute to detections, alerting, runbooks, and guardrails that reduce recurring misconfigurations and improve signal quality.
Reconstruct incidents, establish scope and impact, perform host, container, and cloud forensics, and support root-cause analysis.
Maintain investigation records and contribute to blameless post-incident reviews, audit evidence, and lasting control improvements.
Requirements
2–5 years of security experience, including hands-on work in security operations, cloud security, detection and response, or incident response and forensics.
Practical experience triaging findings and alerts and distinguishing real risk from noise.
Working knowledge of cloud security and posture management in AWS, GCP, or Azure, including infrastructure misconfigurations and exposures.
Familiarity with logging, SIEM, detection tooling, and telemetry required to detect and investigate threats.
Exposure to incident response and digital forensics, including timelines, evidence handling, and root-cause analysis.
Experience working with and investigating Kubernetes, containers, Linux, and APIs.
Clear written communication for findings, severity assessments, and actionable next steps.
Collaborative ownership of findings through resolution with engineering teams.
Nice to have
Experience with GPU/HPC or large-scale multi-tenant cloud infrastructure.
Python, Go, or Bash scripting and automation.
Exposure to CSPM, cloud-native detection, container/Kubernetes security, and identity and access management.
Relevant certifications such as GCIH, GCFA, GCIA, or cloud security certifications.
Culture & Benefits
Collaborative, supportive, innovative environment centered on ownership, accountability, openness, and transparency.
Flexible workplace with autonomy to shape the working day.
Performance reviews every 12 months and a progression plan supporting deeper detection, response, and forensics expertise.
Competitive US compensation package with base salary, bonus, and equity; benefits may include medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
Inclusive workplace encouraging applications from underrepresented groups and offering accommodation support.
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