Software Engineer – Platform Security San Francisco

FriendliAI Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Generous compensation

Daily meals

Flexible hours

Hardware support

Job summary

FriendliAI is seeking an experienced engineer to architect and build the security foundations of a multi-tenant serverless compute platform on Kubernetes. You will own the security design for both control plane and data plane, and ship guardrails as code.

Collaborating with Platform/SRE/Infra teams, you will implement secure-by-default developer experiences, design IAM and workload identity, and drive runtime detections and compliance evidence across the platform.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Cloud security

Kubernetes security

AWS security

Terraform

Helm

Multi-tenant security

Education

Bachelor’s or Master’s degree in Computer Science/Engineering or equivalent

Tools

Terraform

Helm

Job description

About the job

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.

Key Responsibilities

• 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.

Qualifications

• 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

• Clear written and verbal communication; ability to translate pricing/business rules into robust systems.

Preferred Experience

• Knative or similar serverless-on-K8s frameworks.

• Container hardening and sandboxing.

• Policy-as-code and admission policy design at scale.

• eBPF-based observability, detections, and signal tuning.

• Multi-cloud exposure and cross-cloud identity approaches.

• Hands-on contributions to SOC 2 / HIPAA control automation and audit evidence pipelines.

Benefits

• A front-row seat to the generative AI infrastructure revolution

• Competitive compensation and benefits package

• Daily lunch and dinner provided; unlimited snacks and beverages

• Health check-up and top-tier hardware support

• Flexible working hours and a highly collaborative environment

About us

FriendliAI is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face, providing instant access to over 600,000 open-source models. We are on a mission to deliver the world’s best platform for AI inference.