Senior Solutions Architect – AI Infrastructure Security

🔥 12 hours ago

🍂 Massachusetts – Remote

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⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 22%

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Logo of Mirantis

Mirantis

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 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 compliance frameworks • Research emerging security technologies, standards and threats • Prototype and measure alternative designs in the lab • Publish internal research notes, design proposals and appropriate external technical content • Build and run proofs of concept with customers, partners and on Mirantis or customer hardware • 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 • Collaborate with hardware, software and security partners on joint designs and validations • Feed research results into Product, Engineering and the Mirantis security team • Help shape the k0rdent AI roadmap • Present at industry events, webinars and partner summits • Run hands-on workshops and write reference architectures, solution briefs, blog posts and enablement content

🎯 Requirements

• 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 using 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 such as SPIFFE/SPIRE • 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 shared-storage access control • Working understanding of Transformer-based model training, packaging and serving, and AI-specific 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 work with Solutions Architects, Partner Management and Engineering teams • Some meetings may fall outside standard local hours • Nice-to-have qualifications include compliance frameworks, confidential computing, GPU cloud/HPC security, DPUs, offensive security, Mirantis products, security certifications, open-source contributions, public talks, standards participation, research, CVEs, patents, white papers and additional languages

🏖️ Benefits

• Remote work from the United States • 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

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