Senior Infrastructure Security Engineer - Cloud & ML

Higgsfield AI; San Francisco (CA); Hybrid; USD 165,000 - 187,000; Full time

Benefits offered by this job

Equity program

Comprehensive benefits

Hybrid work model

Job summary

Higgsfield AI in the San Francisco Bay Area is seeking a hands-on Infrastructure Security Engineer to own security across our cloud and ML platforms, including training pipelines, GPU clusters, and containerized workloads. You’ll work between Security, DevOps, and ML Engineering to implement both quick fixes and long‑term safeguards.

This hybrid role requires three days per week in the SF office, with the rest remote.

Qualifications

• 7+ years in infrastructure security or security engineering.
• Deep hands-on experience securing AWS, Kubernetes, and Terraform.
• Experience securing ML workloads (training or inference pipelines).
• Strong networking, OS, and cryptography fundamentals.
• Experience with IAM and cross-functional security practices.
• High agency and ability to close security gaps.

Responsibilities

• Evaluate, implement, and maintain cloud security tooling.
• Own vulnerability management across cloud environments.
• Design and implement network segmentation to tighten security boundaries.
• Build centralized security monitoring across cloud infrastructure.

Skills

Infra security experience

Cloud security

Kubernetes

Terraform

ML security

IAM / access mgmt

Networking fundamentals

Secure coding practices

Tools

AWS

Kubernetes

Terraform

GPU clusters

Job description

Higgsfield AI in the San Francisco Bay Area is seeking a hands-on Infrastructure Security Engineer to own security across our cloud and ML platforms, including training pipelines, GPU clusters, and containerized workloads. You’ll work between Security, DevOps, and ML Engineering to implement both quick fixes and long‑term safeguards.

This hybrid role requires three days per week in the SF office, with the rest remote.