Senior Solutions Architect – AI Infrastructure Security

🔥 il y a 16 minutes

🇪🇺 Europe – Télétravail

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 22%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Mirantis

Site WebLinkedInTous les Emplois

501 - 1000 employés

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Mirantis est une entreprise spécialisée dans la gestion de conteneurs et les solutions d'infrastructure cloud. Elle propose une gamme de produits, notamment Mirantis Kubernetes Engine (MKE), Mirantis OpenStack pour Kubernetes (MOSK) et Mirantis Container Cloud (MCC), qui offrent des plateformes de gestion de Kubernetes et de conteneurs de niveau entreprise. Mirantis développe également des outils pour des chaînes d'approvisionnement logicielles sécurisées, tels que le Mirantis Container Runtime (MCR) et le Mirantis Secure Registry (MSR). En tant que défenseur des technologies open source, Mirantis soutient divers projets et fournit des ressources comme Lens Desktop, un IDE Kubernetes populaire, et un support technique pour les entreprises adoptant des technologies cloud-natives. Leurs solutions s'adressent à des secteurs tels que les services publics, les services financiers et les industries des services technologiques et SaaS au sens large.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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