FriendliAI is the fastest inference cloud for agents, built to run frontier open-weight models in production at scale. Backed by Sierra Ventures.
About the role
FriendliAI is looking for an engineer to architect and build the security foundations of a multi-tenant serverless compute platform running on Kubernetes with hardened container isolation. As a Software Engineer, Platform Security, you will own the security design for both the control plane and data plane, implement guardrails as code, and partner closely with Platform/SRE/Infra teams to ship a secure-by-default developer experience. This is a hands-on builder and architect role. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years securing cloud-native platforms with a focus on distributed systems and multi-tenancy
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
- Strong hands-on experience with AWS (IAM, VPC/networking, logging/monitoring, …) and Kubernetes/container security
- Proficiency with Terraform and Helm
- Experience building or operating runtime detections for containers/functions
- Strong technical background in backend systems, cloud infrastructure, or AI tooling
More about this role
FriendliAI is looking for an engineer to architect and build the security foundations of a multi-tenant serverless compute platform running on Kubernetes with hardened container isolation. As a Software Engineer, Platform Security, you will own the security design for both the control plane and data plane, implement guardrails as code, and partner closely with Platform/SRE/Infra teams to ship a secure-by-default developer experience. This is a hands-on builder and architect role.
Design and implement the security architecture for a Kubernetes-based, multi-tenant serverless platform.
Build guardrails as code using Terraform and Helm.
Establish network segmentation and service-mesh policy.
Develop secrets and key management patterns.
Implement runtime detections for containerized workloads.
Design and roll out IAM & workload identity management.
Threat model new features and changes to the overall platform.
Collaborate with engineering to debug production issues, lead post-incident hardening, and automate evidence for compliance controls.
5+ years securing cloud-native platforms with a focus on distributed systems and multi-tenancy.
Bachelor’s or Master's degree in Computer Science,...
Browse similar: Startup jobs · Remote jobs · San Francisco Bay Area