Senior Solutions Architect – AI Infrastructure Security

🔥 vor 4 Stunden

🇪🇺 Europa – Remote

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

👻 Geisterscore 22%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Mirantis

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

Consulting • Healthcare • Logistics

Mirantis ist ein Unternehmen, das sich auf Container-Management und Cloud-Infrastrukturlösungen spezialisiert hat. Das Portfolio umfasst unter anderem Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK) und Mirantis Container Cloud (MCC) – Plattformen für Kubernetes und Container-Management auf Enterprise-Niveau. Darüber hinaus entwickelt Mirantis Werkzeuge für sichere Software-Lieferketten, etwa die Mirantis Container Runtime (MCR) und die Mirantis Secure Registry (MSR). Als Verfechter von Open-Source-Technologien unterstützt Mirantis verschiedene Projekte und stellt Ressourcen wie Lens Desktop, eine beliebte Kubernetes-IDE, sowie technischen Support für Unternehmen bereit, die Cloud-native Technologien einführen. Die Lösungen von Mirantis richten sich an Bereiche wie den öffentlichen Sektor, Finanzdienstleistungen sowie SaaS- und Technologiedienstleistungen.

Beschreibung

• Own the security solutioning of k0rdent AI, Mirantis’s platform for building and operating GPU clouds and AI factories • Define end-to-end security for hardware, firmware, hosts, virtual machines, Kubernetes clusters, networks, storage, secrets, certificates, models and applications • Design and publish security reference architectures and solution designs for private, multi-tenant and hybrid AI cloud deployments • Define defence-in-depth models, tenant isolation boundaries, security guarantees and trade-offs • Map designs to customer controls and frameworks • Design bare-metal, host, virtual machine, Kubernetes, secrets, PKI, network, storage and public cloud security • Define protection for Transformer-based models throughout their lifecycle • Secure inference services and AI applications against prompt injection, exfiltration, model theft and agent tool abuse • Design shared GPU infrastructure isolation and assess confidential computing options • Secure software supply chains for platforms, containers and models • Research emerging security technologies, standards and threats • Prototype and measure alternative security designs in the lab • Publish internal research notes, design proposals and suitable external technical content • Build and run proofs of concept with customers, partners and on Mirantis hardware or customer sites • Write automation, policies and tooling using Python, Go, Bash, Ansible, Helm, Kubernetes manifests, Terraform and policy-as-code • Assess designs and deployments through threat modelling, configuration review and hands-on testing • Act as security subject matter expert in customer discovery, design reviews and architecture workshops • Support security questionnaires and architecture reviews for strategic opportunities • Work with hardware, software and security partners on joint designs and validations • Feed research results to Product, Engineering and the Mirantis security team and help shape the k0rdent AI roadmap • Present at industry events, webinars and partner summits and run technical workshops • Write reference architectures, solution briefs, blog posts and internal enablement content

🎯 Anforderungen

• Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity or a related field, or equivalent practical experience • 8+ years in security engineering or security architecture • At least 3 years securing cloud, Kubernetes or large-scale infrastructure platforms • Customer-facing experience as a solutions architect, pre-sales engineer, consultant or technical lead • Experience designing and operating secure deployments on at least one major public cloud (AWS, Azure or GCP) and on private cloud or bare-metal infrastructure • Linux hardening, secure boot, TPM, hypervisor and VM isolation, including KubeVirt • Kubernetes security, including RBAC, Pod Security Standards, admission controllers, policy engines, runtime security and multi-tenancy patterns • Secrets and key management using tools such as HashiCorp Vault or OpenBao, External Secrets Operator, cloud KMS and HSMs • PKI and identity, including cert-manager, mTLS, OIDC, SSO and workload identity • Network security, including segmentation, firewalling, zero-trust architectures and Kubernetes network policy • Storage and data security, including encryption and access control on shared storage • Working understanding of Transformer-based model training, packaging and serving and related threats • Software supply chain security, including image signing, SBOMs, vulnerability scanning and SLSA concepts • Programming or scripting in at least one language; Python or Go preferred • Comfortable using Git, CI and infrastructure-as-code • Excellent written and spoken English • Comfortable presenting at conferences and events and running hands-on workshops • Able to adapt communication for engineers, CISOs and customer executives • Experience working in an international, distributed company across time zones and work cultures • Nice-to-have experience with compliance frameworks, confidential computing, GPU cloud or HPC environments, DPUs, offensive security, Mirantis products, security certifications, open-source contributions, public talks, standards bodies, published research, CVEs, patents, white papers or additional languages

🏖️ Vorteile

• Remote work arrangement • Travel of up to 25% for customer engagements, partner meetings, lab work and industry events • Compensation and benefits set according to the local market and employment arrangement • Opportunity to work with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises • Collaboration with a world-class, distributed team • Opportunity to shape the product narrative and influence go-to-market success