Security Infrastructure Engineer (Almaty)
Higgsfield AI is hiring a Security Infrastructure Engineer (Almaty) (Kazakhstan). Level rates it ; you can apply on Higgsfield AI.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AWS, Kubernetes and Terraform.
- Level classifies it as a senior role.
- Level lists 95 other open roles at Higgsfield AI.
AI in this role
Own security across cloud and ML infrastructure, securing GPU clusters, training pipelines, and model-serving platforms.
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).
How we rate this
Security Infrastructure Engineer (Almaty) at Higgsfield AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where infrastructure security was part of your work. What did you do?
- Tell me about a project where cloud security was part of your work. What did you do?
- Tell me about a project where vulnerability management was part of your work. What did you do?
- Tell me about a project where access control was part of your work. What did you do?
- Tell me about a project where gpu cluster security was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Infrastructure Security, Cloud Security, Vulnerability Management, Access Control, and GPU Cluster Security. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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