
1001 - 5000 employees
đą Enterprise
âïž SaaS
AI 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
đą Enterprise
âïž SaaS
AI 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 Build and lead a red team function within Product Security Team, hiring and developing offensive security engineers. âą Validate and extend early-stage Secure SDLC threat models via continuous penetration testing, assessing threat severity and mitigation status while challenging assumptions made during threat modeling and system development. Automate routine validations to keep pace with increasing feature flow, reserving manual analysis for genuinely complex cases. âą Plan and execute full-scoped red team engagements against Nebius cloud platform - including compute, storage, inference, networking, orchestration layers, and internal tooling. Identify threats, which are able to impact an organization's operations. Work closely with Detection & Response and other security engineering teams to run purple team exercises, validate detection coverage, and close gaps collaboratively. âą Research novel attacks against GPU infrastructure (e.g., closed-source firmware and vendor driver binaries, device passthrough exploits, SR-IOV/IOMMU misconfigurations, RDMA/InfiniBand fabric attacks, etc.), the inference stack (e.g., vLLM, TRT-LLM), and AI platform managed services (e.g., managed Slurm). Assess tenant-isolation boundaries and how they can be broken at the low-level stack. âą Conduct targeted assessments of new products and infrastructure changes before they ship. âą Deliver clear, actionable reports for both technical audiences and leadership - with prioritized findings and remediation guidance. âą Establish red team processes, tooling, and a methodology that scales as the platform grows.
âą 6+ years in offensive security - penetration testing, red teaming, or adversary simulation - with at least 1-2 years leading or mentoring a team. âą Deep experience attacking cloud-native environments: Kubernetes privilege escalation, cloud IAM abuse, virtualization and container escapes. âą Strong fundamentals across the attack lifecycle: initial access, persistence, lateral movement, data exfiltration. âą Proficiency developing custom tooling and post-exploitation capabilities (Python, Go, or similar). âą Experience running purple team exercises and working constructively with blue teams. âą Ability to write clear, senior-level reports with business-contextualized risk (not just raw findings) that engineers can easily use.
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
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