Software Engineer – Platform Security
FriendliAI · San Francisco
- Company
- FriendliAI
- Work style
- Hybrid
- Employment
- Full Time
- Location
- San Francisco
- Published
- 2026-10-21
- Source checked
- 2026-10-26
- Listing source
- Ashby Job Postings API
About this role
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.
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