Software Engineer - Platform Security

• 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, 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 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

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.