FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in security solutioning for AI cloud platforms, with a strong focus on Kubernetes security, cloud infrastructure protection, and secure software supply chains. Proficient in designing security architectures and implementing defense-in-depth strategies across various environments.
Highest-signal resume keywords
Security EngineeringKubernetes SecurityCloud SecurityPython ProgrammingSecrets Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Security ArchitectureLinux HardeningNetwork SecurityStorage SecuritySoftware Supply Chain SecurityThreat ModellingConfiguration ReviewVM IsolationTransformer-Based Model SecurityInfrastructure as Code
Soft Skills
Excellent CommunicationCustomer-Facing ExperiencePresentation SkillsAdaptabilityCollaboration
Tools & Technologies
KubernetesAWSAzureGCPHashiCorp VaultGitCI/CDTerraformAnsibleMTLS
Industry Keywords
CybersecurityZero-Trust ArchitecturesConfidential ComputingGPU CloudHPC EnvironmentsCompliance FrameworksPublic TalksPublished ResearchOpen-Source ContributionsSecurity Standards
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudCyber 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 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
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, 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
Benefits
Comp & perks- 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
