About the Role
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Nebius is looking for an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development.
Responsibilities
•Define and maintain the organization's cybersecurity architecture, reference architectures, security standards, and design principles.
•Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives.
•Translate threat models, business requirements, and risk assessments into practical security controls.
•Establish security-by-design principles across cloud, infrastructure, application, and platform architectures.
•Identify architectural security gaps and drive remediation roadmaps.
•Design and implement security architectures for Kubernetes-based environments and cloud-native platforms.
•Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications.
•Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management.
•Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity.
•Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments.
•Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable.
•Establish security controls for container orchestration platforms across development, testing, and production environments.
•Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads.
•Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments.
•Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management.
•Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement.
•Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies.
•Ensure alignment with organizational security requirements and relevant industry standards.
•Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations.
•Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines.
•Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning.
•Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls.
•Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery.
•Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams.
•Develop technical security standards, architecture patterns, and security control baselines.
Requirements
•7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture.
•3+ years of experience managing technical teams or leading senior technical professionals.
•Strong practical knowledge of Kubernetes architecture and container security in production environments.
•Demonstrated experience securing cloud-native workloads and distributed systems.
•Strong expertise in AWS and/or Microsoft Azure security architecture.
•Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security.
•Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries.
•Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection.
•Practical experience with Infrastructure as Code and automated security controls.
•Experience securing CI/CD pipelines and integrating security into software development processes.
•Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies.
•Proven ability to influence engineering teams and translate security requirements into scalable technical solutions.
•Excellent communication skills in English.
Conditions
•Competitive compensation
•Career growth and learning opportunities
•Flexibility and ownership
•Collaborative and innovative culture
•Opportunity to work on impactful AI projects
•International environment and talented teams
•Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
