Staff Security Engineer, Infrastructure

fal•San Francisco, CA

About The Position

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.

Requirements

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
Security Expertise
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)
Engineering Skills
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

Nice To Haves

Experience with:
GPU infrastructure or ML systems
Multi-tenant platform isolation
Service mesh / zero-trust architectures
High-growth startup environments

Responsibilities

Build & Harden Infrastructure Security
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
Identity, Secrets & Access
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
Secure AI & Data Systems
Protect model weights, inference endpoints, and customer data
Design secure data access pathways and isolation mechanisms
Ensure safe multi-tenant execution environments
Automation & Security Tooling
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
Threat Modeling & Risk Reduction
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
Cross-Functional Collaboration
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