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).