AI Infrastructure Security Engineer

12 months ago

H1B sponsor

Responsibilities

Build security foundations for the AI platform, including identity, isolation, secrets management, and access control across cloud and Kubernetes environments.
Harden cloud networking, service meshes, deployment pipelines, and the data and model pipelines supporting AI capabilities.
Implement Zero Trust principles, machine identity, short-lived credentials, least-privilege access, and encrypted service communication.
Protect customer data and agent workloads by designing secure execution environments and data access pathways.
Build security guardrails into infrastructure and deployment workflows using Terraform.
Own infrastructure threat modeling and remediate risks before incidents occur.
Secure forward-deployed infrastructure by designing and hardening bespoke VPCs and customer-environment deployments.
Partner with platform, infrastructure, product, and ML teams to ship secure code and infrastructure.

At least 5 years of experience in security engineering, infrastructure, or SRE, with hands-on experience building or securing production systems at scale.
Fluency in cloud security fundamentals including IAM, networking, KMS, secrets, and isolation across AWS, GCP, or Azure.
Hands-on experience with Kubernetes, container security, and Linux systems.
Experience designing and implementing secure systems end-to-end, authentication and authorization systems, secrets management, and cryptography basics.
Experience with Infrastructure-as-Code, preferably Terraform, and the ability to translate threat models and trust boundaries into concrete controls.
Bonus: experience with ML systems or multi-tenant platform isolation, service mesh and zero-trust architectures, and Go, Python, or a similar language for automation and tooling.

11-50 employees

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