Staff Security Engineer, Infrastructure (AI)

TL;DR

Staff Security Engineer, Infrastructure (AI): Securing the core systems that power the hirify.global platform, including GPU compute, multi-cloud environments, networking, and data pipelines with an accent on designing and implementing security controls that scale with a high-performance AI platform. Focus on hands-on and systems-oriented tasks at the intersection of security, infrastructure, and distributed systems.

Location: San Francisco

Company

hirify.global is building a high-performance AI platform.

What you will do

• Design and implement security controls across cloud infrastructure, Kubernetes, and data pipelines.
• Protect model weights, inference endpoints, and customer data.
• Build security guardrails directly into infrastructure and CI/CD.
• Identify and mitigate risks across infrastructure layers.
• Partner with platform, infra, and ML teams to drive shift-left security.
• Enable engineers to move fast with secure-by-default systems.

Requirements

• 8+ years in security engineering, infrastructure, or SRE.
• Strong understanding of cloud security (AWS, GCP, or Azure), networking fundamentals, and Linux systems and container security (Docker, Kubernetes).
• Experience building or securing production infrastructure at scale.
• Ability to design security controls across multiple layers.
• Proficiency in at least one language (Go, Python, or similar).
• Experience with Infrastructure-as-Code (Terraform preferred).

Nice to have

• GPU infrastructure or ML systems experience.
• Multi-tenant platform isolation experience.
• Service mesh / zero-trust architectures experience.
• High-growth startup environments experience.

Culture & Benefits

• Opportunity to work on frontier AI infrastructure.
• High ownership: design systems from first principles.
• Direct impact on developer trust and platform reliability.
• Secure-by-default > bolt-on security.
• Enable developers, don’t block them.
• Automate everything.