Senior Solutions Architect – AI Infrastructure Security

🔥 2 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mirantis

WebsiteLinkedInAll Job Openings

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 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

🎯 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 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

🏖️ Benefits

• 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