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python training siem gpu kqlπ Description
- Design AI-specific threat detection strategies for GPU clusters.
- Build automated response playbooks to contain threats with minimal human input.
- Lead incident response coordination across Cloud, AppSec, AI Security, and Enterprise.
- Hunt for sophisticated AI attacks and identify visibility gaps.
- Develop detection-as-code, telemetry ingestion, and dashboards for security metrics.
- Collaborate with AI research and infrastructure teams to defend the platform.
π― Requirements
- 3-5+ years in security operations, detection engineering, or incident response.
- Strong programming in Python, KQL, SPL, or similar languages.
- Experience with SIEM platforms and forensic techniques.
- Self-directed, proactive threat hunting and security automation.
- Deep alignment with WRITER's values and accountability.
π Benefits
- Generous PTO and company holidays
- Medical, dental, and vision coverage for you and family
- Paid parental leave (12 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Annual stipends for wellness and learning
- Company-wide off-sites and team off-sites
- Competitive compensation, stock options and 401k
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