
1001 - 5000 employees
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Nebius Group is building one of the worldâs leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
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1001 - 5000 employees
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Nebius Group is building one of the worldâs leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
âą Analyze customer expectations, regulatory/compliance drivers, and threat models to define functional and non-functional requirements for security solutions âą Conduct market scans to identify security products, platforms, and vendors across CSPM/CNAPP, DLP, IAM/IGA, EDR/XDR, data security, Kubernetes security, and AI/ML security âą Evaluate vendorsâ technical capability, security posture, integration requirements, roadmap, data residency/compliance, and support quality âą Develop threat-aligned PoC test plans, success criteria, quantitative metrics, attack scenarios, and automation opportunities âą Architect and deploy isolated PoC environments simulating production infrastructure, including cloud VPCs, Kubernetes clusters, test data, IaC, and typical workloads âą Execute security research methodologies, simulate attack scenarios, validate features, and assess false positive/negative rates âą Document technical performance data, integration challenges, security gaps, and comparative analysis metrics âą Deliver data-driven reports and presentations with recommendations for solution and vendor selection âą Collaborate with Security Engineering, Platform/Infra, and DevOps teams on integration, operation, scaling, and implementation handoffs
âą Minimum 6+ years in Security Engineering, Security Architecture, or a dedicated Security Research role focused on solution validation and vendor management âą Deep understanding of cloud security principles, including AWS/Azure/GCP security models, Kubernetes/containers, network segmentation, IaC scanning, least privilege, identity-centric security, and confidential computing âą Strong scripting/programming skills, such as Python or Go, for automating PoCs, building test harnesses, and integrating tools via APIs and CI/CD pipelines âą Proven hands-on experience architecting, deploying, and testing two or more enterprise-grade security tools, such as SIEM/SOAR, EDR, Vulnerability Management, or Secrets Management âą Ability to plan and execute complex technical PoCs, set up test environments, and define quantitative success metrics âą Exceptional analytical skills to translate technical findings into business risk and strategic recommendations âą Strong written and verbal communication âą Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire
âą Competitive compensation âą Career growth and learning opportunities âą Flexibility and ownership âą Collaborative and innovative culture âą Opportunity to work on impactful AI projects âą International environment and talented teams âą Fast moving âą Bold thinking âą Constant growth âą Meaningful impact âą Trust and real ownership âą Opportunity to shape the future of AI
Apply Nowđ August 10
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