Site Reliability Engineer
Sr Platform Security Engineer (Zero Trust and Platform Security)
Удалённоsenior
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Platform Security Engineer (Zero Trust and Platform Security) based in Switzerland.
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.
Requirements
- 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.
Benefits
- 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.
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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