8 months ago
Responsibilities
- Build security foundations for the AI platform, including identity and access control.
- Harden infrastructure from cloud networking to CI/CD pipelines.
- Implement Zero Trust principles and manage machine identity across workloads.
- Protect customer data and design secure execution environments.
- Integrate security guardrails into infrastructure and deployment workflows using Infrastructure-as-Code.
- Own threat modeling across infrastructure layers to identify and remediate risks.
- Design and secure bespoke VPCs and customer-environment deployments.
- Collaborate with platform, infra, product, and ML teams to ensure secure systems.
Requirements
- 5+ years of experience in security engineering, infrastructure, or SRE.
- Fluency in cloud security fundamentals across AWS, GCP, or Azure.
- Experience designing and implementing secure systems end-to-end.
- Hands-on experience with Kubernetes, container security, and Linux systems.
- Ability to think in terms of threat models and trust boundaries.
- Experience with Infrastructure-as-Code, preferably Terraform.
- Knowledge of authentication, authorization systems, and cryptography basics.
- A hands-on builder who enjoys writing code and shipping infrastructure.
Benefits
- Competitive salary plus equity.
- Daily lunches.
- Commuter benefits.
- 401(k) plan.
- Medical, Dental, and Vision insurance.
- Unlimited PTO.