Senior Solutions Architect – AI Infrastructure Security

🕒 Outubro 8

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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• As vagas desta empresa costumam ser preenchidas em 38 dias.
• Sem salário divulgado.

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Mirantis

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Mirantis é uma empresa especializada em soluções de gerenciamento de contêineres e infraestrutura em nuvem. Ela oferece uma variedade de produtos, incluindo o Mirantis Kubernetes Engine (MKE), o Mirantis OpenStack para Kubernetes (MOSK) e o Mirantis Container Cloud (MCC), que fornecem plataformas de gerenciamento de Kubernetes e contêineres em nível empresarial. A Mirantis também desenvolve ferramentas para cadeias seguras de fornecimento de software, como o Mirantis Container Runtime (MCR) e o Mirantis Secure Registry (MSR). Como defensora das tecnologias de código aberto, a Mirantis apoia vários projetos e fornece recursos como o Lens Desktop, um popular IDE para Kubernetes, além de suporte técnico para empresas que adotam tecnologias nativas em nuvem. Suas soluções atendem a setores como serviços públicos, serviços financeiros e indústrias mais amplas de SaaS e serviços de tecnologia.

Descrição

• 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 and tenant isolation boundaries across the stack • Map designs to customer controls and frameworks and document risk, cost, performance and operability trade-offs • Design security for bare-metal hosts, virtual machines, Kubernetes, secrets, PKI, networks, storage and public cloud deployments • Define lifecycle protection for Transformer-based models, training data, model registries, inference services and AI applications • Address prompt injection, data and model exfiltration, model theft and agentic tool-access abuse • Secure software supply chains for platforms, containers and models • Research emerging security technologies, standards and threats, and prototype alternative designs in the lab • Publish internal research notes, design proposals and appropriate external papers, blog posts or talks • Build and run proofs of concept with customers, partners, Mirantis labs and 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 • Engage customer security, risk and compliance teams and support security questionnaires and architecture reviews • Work with hardware, software and security partners on joint designs and validations • Feed research results back 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

🎯 Requisitos

• 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: RBAC, Pod Security Standards, admission controllers, policy engines, runtime security and multi-tenancy patterns • Secrets and key management with tools such as HashiCorp Vault or OpenBao, External Secrets Operator, cloud KMS and HSMs • PKI and identity: cert-manager, mTLS, OIDC, SSO and workload identity • Network security: segmentation, firewalling, zero-trust architectures and Kubernetes network policy • Storage and data security: encryption at rest and in transit, key hierarchy design and access control on shared storage • Working understanding of Transformer-based models, their training, packaging and serving, and related threats • Software supply chain security: 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 to large audiences and running hands-on workshops • Experience working in an international, distributed company across time zones and work cultures • Ability to travel up to 25% • Equivalent practical experience may substitute for the bachelor's degree • Nice-to-have qualifications include compliance frameworks, confidential computing, GPU cloud or HPC security, DPU security, offensive security, Mirantis products, security certifications, open-source contributions, public talks, standards participation, research, CVEs, patents, white papers and additional languages

🏖️ Benefícios

• Remote work arrangement • Travel of up to 25% for customer engagements, partner meetings, lab work and industry events • Work with a distributed, international team • Opportunity to build the observability foundation for the AI cloud era • Collaboration with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises • Opportunity to shape the product narrative and influence go-to-market success

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