Senior Cloud & ML Security Engineer

Menlo Ventures; San Francisco (CA); Hybrid; USD 165,000 - 187,000; Full time

Benefits offered by this job

Stock options

Comprehensive benefits

Job summary

Higgsfield AI is hiring an Infrastructure Security Engineer to own security across our cloud and ML infrastructure, the platform that trains models and serves millions of generations daily.

You will work between Security, DevOps, and ML Engineering, owning cloud security tooling, vulnerability management, and guardrail development. The role combines hands-on work with long-term operational leadership in a fast-growing startup.

Qualifications

• 7+ years in infrastructure security or security engineering at a high-growth startup.
• Experience securing a major cloud provider and container orchestrator with infrastructure-as-code (AWS, Kubernetes, Terraform).
• Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms.
• Strong networking, operating systems, and cryptography fundamentals.
• Solid container and infrastructure security practices and vulnerability management.
• Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps.

Responsibilities

• Cloud & Network Security: evaluate, implement, and maintain cloud security tooling; manage vulnerabilities; design network segmentation; build centralized security monitoring.
• Corporate Access Control: own access governance and credential management across cloud and internal tooling; collaborate to raise IAM standards.
• Technical Leadership: set the technical direction for infrastructure security and lead cross-functional projects from standards to tooling and guardrails.

Skills

Infrastructure security

Cloud security

Security engineering

Vulnerability management

Identity and access management

Kubernetes

AWS

Terraform

Networking fundamentals

Tools

AWS

Kubernetes

Terraform

Job description

Higgsfield AI is hiring an Infrastructure Security Engineer to own security across our cloud and ML infrastructure, the platform that trains models and serves millions of generations daily.

You will work between Security, DevOps, and ML Engineering, owning cloud security tooling, vulnerability management, and guardrail development. The role combines hands-on work with long-term operational leadership in a fast-growing startup.