Security Engineer (AI)

TL;DR

Security Engineer (AI): Designing and implementing robust security controls across generative AI infrastructure and platforms with an accent on cloud-native architecture protection, Kubernetes security, and DevSecOps integration. Focus on building scalable security tooling, managing vulnerabilities, and ensuring the confidentiality and integrity of LLM inference systems.

Location: San Mateo, CA

Company

hirify.global is a high-growth startup building the future of generative AI infrastructure, delivering industry-leading LLM inference speed and scalability.

What you will do

• Design security-focused software to protect customer data, models, and multi-cloud services.
• Perform security reviews of cloud-native architectures including Kubernetes and distributed data stores.
• Implement DevSecOps practices within CI/CD pipelines for automated scanning and policy enforcement.
• Develop in-house security tooling and automation for enhanced scalability and control.
• Manage vulnerability assessments across infrastructure, containers, and applications.
• Operate security functions including incident response, detection engineering, and compliance reporting.

Requirements

• 3 to 7 years of experience in software or security engineering.
• Proficiency in Python and/or Go for production-grade system design.
• Strong expertise in GCP and cloud-native network/data security.
• Hands-on experience with Kubernetes, Docker, and Linux environments.
• Familiarity with identity controls (OIDC, SAML, OAuth, RBAC).
• Must be based in San Mateo, CA.

Nice to have

• Experience securing large-scale GPU clusters and ML inference platforms.
• Knowledge of infrastructure-as-code using Terraform.
• Background in managing compliance frameworks like SOC 2, ISO 27001, or HIPAA.
• Experience with zero-trust architectures and service mesh security.

Culture & Benefits

• Work on bleeding-edge AI infrastructure and low-latency serving.
• Collaborate with world-class engineers from Meta and Google.
• Fast-paced, high-ownership environment with minimal bureaucracy.
• Opportunity to shape the future of generative AI infrastructure.