Why work at Higgsfield AI?

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.

We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.

Role Overview

We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day.

The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering.

You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance.

Key Responsibilities

We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas:

Cloud & Network Security

• Evaluate, implement, and maintain cloud security tooling.

• Own infrastructure and container vulnerability management across our cloud environments, and drive remediation.

• Design and implement network segmentation to tighten internal security boundaries.

• Build centralized security monitoring across cloud infrastructure.

Corporate Access Control

• Own access governance and credential management across cloud and internal tooling.

• Partner with Engineering, DevOps, and IT to raise identity and access management standards.

Technical Leadership:

• Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with.

Requirements:

Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway.

• 7+ years in infrastructure security or security engineering, including time at a high- growth startup.

• Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform).

• Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms.

• Solid networking, operating systems, and cryptography fundamentals.

• Strong grasp of 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.

• High agency.

Nice to have

• Experience with sandboxing, container isolation, or secure execution environments for untrusted code.

• Experience with CSPM rollouts.

• Incident response and security monitoring experience.

• Familiarity with SOC 2 or similar frameworks.

What we offer:

• Competitive base salary in USD

• Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth.

• On-site role in our Almaty office (we will relocate you from anywhere).