FriendliAI
Software Engineer Platform Security
FriendliAI, San Francisco, California, United States, 94199
Overview
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 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. Bachelors or Masters 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. A front-row seat to the AI infrastructure revolution. Opportunity to work cross-functionally with top-tier engineers, product leaders, and go-to-market teams. Competitive compensation. Premium hardware and health support benefits. A highly collaborative, fast-moving team where your impact is immediate and visible. About Us
FriendliAI, a San Mateo, CA-based startup, 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 supports high-throughput, low-latency AI workloads for organizations worldwide. We are also integrated with the Hugging Face platform, allowing instant access to over 430,000 open-source models. We are on a mission to deliver the worlds best platform for generative and agentic AI. Location
San Francisco, CA Compensation
Salary: $160,000 - $180,000 #J-18808-Ljbffr
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 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. Bachelors or Masters 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. A front-row seat to the AI infrastructure revolution. Opportunity to work cross-functionally with top-tier engineers, product leaders, and go-to-market teams. Competitive compensation. Premium hardware and health support benefits. A highly collaborative, fast-moving team where your impact is immediate and visible. About Us
FriendliAI, a San Mateo, CA-based startup, 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 supports high-throughput, low-latency AI workloads for organizations worldwide. We are also integrated with the Hugging Face platform, allowing instant access to over 430,000 open-source models. We are on a mission to deliver the worlds best platform for generative and agentic AI. Location
San Francisco, CA Compensation
Salary: $160,000 - $180,000 #J-18808-Ljbffr