Senior Solutions Architect – AI Infrastructure Security

Mirantis

. Own the security solutioning of k0rdent AI, Mirantis's platform for building and operating GPU clouds and AI factories .

Posted 10/9/2026full-timeRemote • Massachusetts • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in security solutioning for AI cloud platforms, with a strong focus on Kubernetes security, cloud infrastructure, and compliance frameworks. Proficient in designing secure deployments, threat modeling, and collaborating with cross-functional teams to enhance security measures.

Highest-signal resume keywords

Security EngineeringKubernetes SecurityCloud SecurityThreat ModelingPython Programming

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Hard Skills

Security ArchitectureLinux HardeningNetwork SecuritySecrets ManagementData SecuritySoftware Supply Chain SecurityInfrastructure-as-CodeVirtual Machine IsolationDefence-in-Depth ModelsTransformer-Based Model Training

Soft Skills

Excellent CommunicationCustomer-Facing ExperiencePresentation SkillsCollaborationWorkshop Facilitation

Tools & Technologies

KubernetesAWSAzureGCPHashiCorp VaultGitAnsibleTerraformHelmCI/CD

Industry Keywords

Compliance FrameworksZero-Trust ArchitecturesGPU Cloud SecurityConfidential ComputingPublic Talks

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudCyber SecurityGoogle Cloud PlatformKubernetesLinuxPythonTerraformVaultGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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