Sr Platform Security Engineer (Zero Trust and Platform Security)

This is a senior security engineering opportunity focused on protecting a high-performance GPU cloud platform at scale. You will design and implement zero-trust capabilities across identity, networking, infrastructure, platform, and automation layers. The role combines hands-on engineering with security architecture for complex, distributed, multi-tenant environments. You will help secure Kubernetes, virtualization, storage, networking fabrics, and high-performance AI infrastructure. A major focus will be building automation for threat detection, vulnerability remediation, incident response, and security operations. You will also explore AI-assisted security workflows to improve telemetry analysis, triage, and operational efficiency. Working remotely across Europe, you will collaborate closely with infrastructure, platform, networking, and security teams. Accountabilities

• Design and implement zero-trust security architecture, identity-aware access controls, least-privilege models, and secure access paths across infrastructure, control planes, orchestration systems, and operational tooling.
• Build and operate secure authentication and authorization capabilities for multi-tenant environments, including IAM integrations, PKI, key management, certificate lifecycle automation, and identity federation.
• Secure Kubernetes clusters, container runtimes, virtualization layers, storage systems, networking fabrics, and other components of the underlying cloud infrastructure.
• Design and implement network security controls covering segmentation, tenant isolation, encrypted transport, EVPN/VXLAN, VRF isolation, and zero-trust networking, including high-performance RDMA and InfiniBand environments.
• Develop security automation that improves vulnerability triage, remediation, detection, incident response, and integration between security and operational systems.
• Support security monitoring and incident response by investigating alerts, analyzing vulnerabilities, improving detection coverage, and contributing to post-incident reviews.
• Establish patch and vulnerability management strategies across operating systems, kernels, container runtimes, and infrastructure fleets, including automated validation and deployment of security updates.
• Build security telemetry pipelines and improve SIEM signal quality through correlation rules, enrichment, automated triage, and integration with broader observability systems.
• Develop AI-assisted security workflows and agents that can summarize alerts, correlate events, identify anomalies, and support operators during investigations.
• Contribute to security governance, compliance requirements, operational procedures, security metrics, and measurable validation of the platform’s security posture.

• 7+ years of experience in cloud security, infrastructure security engineering, or a closely related discipline, with experience securing large-scale distributed platforms.
• Strong understanding of cloud security architecture and practical experience securing Kubernetes and containerized environments.
• Experience designing security models for multi-tenant infrastructure and embedding security controls into platform architecture and deployment practices.
• Hands-on experience with IAM, authentication and authorization systems, PKI, key management, certificates, and secure identity infrastructure.
• Solid knowledge of datacenter and distributed-network security, including segmentation, tenant isolation, encrypted transport, and zero-trust networking principles.
• Experience with SIEM platforms, security telemetry, vulnerability management, incident investigation, and security operations.
• Strong ability to develop security automation and operational tooling, ideally using Python and/or Go.
• Familiarity with technologies such as Wazuh, Snort, TheHive, Cortex, HashiCorp Vault, HashiCorp Boundary, Tailscale, Authentik, Keycloak, and related security platforms is valuable.
• Experience with infrastructure networking technologies such as EVPN/VXLAN, VRF, RDMA, InfiniBand, or comparable high-performance environments is advantageous.
• Strong analytical and problem-solving skills, with the ability to investigate complex security issues and translate them into practical engineering solutions.
• Comfortable collaborating across infrastructure, networking, platform, and security teams, communicating clearly and taking ownership of security outcomes.

• Attractive compensation package aligned with your expertise, experience, transferable skills, and market conditions.
• Remote work opportunity across Europe with a flexible, hybrid-friendly working approach.
• Friendly, international, and diverse work environment.
• Opportunity to join a fast-growing scale-up working on advanced GPU cloud and AI infrastructure.
• Meaningful technical challenges involving zero-trust security, distributed systems, high-performance infrastructure, and AI-assisted security operations.
• Opportunities for career growth, learning, and professional development.
• Inclusive workplace committed to equal opportunity and diversity.
• Full-time permanent or freelance contract options, depending on the engagement.