Hire(d) better.
Hire(d) better.
Hire(d) better.
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
We’re looking for a Security Engineer, Infrastructure to secure the core systems that power fal.ai’s platform: GPU compute, multi-cloud environments, networking, and data pipelines. You’ll operate across the full stack, from cloud and Kubernetes to identity, networking, and secrets, designing and implementing security controls that scale with a high-performance AI platform. This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems.
Design and implement security controls across:
Cloud infrastructure
Kubernetes and containerized workloads
Networking, service meshes, and edge systems
CI/CD pipelines and deployment systems
Secure compute environments for GPU workloads and model execution
Machine identity and workload authentication
Secrets management and encryption (e.g., Vault, KMS)
Least-privilege access and short-lived credentials
Implement Zero Trust principles across infrastructure
Protect model weights, inference endpoints, and customer data
Design secure data access pathways and isolation mechanisms
Ensure safe multi-tenant execution environments
Build security guardrails directly into infrastructure and CI/CD
Use Infrastructure-as-Code (Terraform, Pulumi) to enforce secure defaults
Continuously identify and remediate security gaps through automation
Identify and mitigate risks across infrastructure layers
Defend against both external attackers and insider threats
Drive projects like network isolation, encryption, and secure service communication
Partner with platform, infra, and ML teams to drive shift-left security
Enable engineers to move fast with secure-by-default systems
Contribute to a strong security culture across the company
8+ years in security engineering, infrastructure, or SRE
Strong understanding of:
Cloud security (AWS, GCP, or Azure)
Networking fundamentals (segmentation, firewalls, Zero Trust)
Linux systems and container security (Docker, Kubernetes)
Experience building or securing production infrastructure at scale
Deep knowledge of:
Authentication & authorization systems
Secrets management and cryptography basics
Common vulnerabilities and attack vectors
Ability to design security controls across multiple layers (infra → app)
Proficiency in at least one language (Go, Python, or similar)
Experience with Infrastructure-as-Code (Terraform preferred)
Strong automation mindset—security should scale with systems
Experience with:
GPU infrastructure or ML systems
Multi-tenant platform isolation
Service mesh / zero-trust architectures
High-growth startup environments
Work on cutting-edge AI infrastructure security (not just SaaS)
Secure GPU clusters, model execution, and real-time inference systems
High ownership: design systems from first principles
Direct impact on developer trust and platform reliability
Secure-by-default > bolt-on security
Enable developers, don’t block them
Automate everything
Assume breach, design for resilience
Competitive salary + equity
Full health, dental, and vision coverage
Opportunity to work on frontier AI infrastructure
You’ll help define what security looks like for the next generation of AI infrastructure—where performance, scale, and safety all matter.
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Staff Security Engineer, Infrastructure
The Staff Security Engineer, Infrastructure position at Fal Ai is based in San Francisco. This is an on-site position.
The Staff Security Engineer, Infrastructure position at Fal Ai is a Full time role.
The Staff Security Engineer, Infrastructure position at Fal Ai requires 8+ yrs exp.
Key skills for the Staff Security Engineer, Infrastructure position at Fal Ai include: kubernetes, ci/cd, terraform, pulumi, aws, google cloud, azure, docker, python.
