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FriendliAI is seeking a Software Engineer to architect and build the security foundations of a multi-tenant serverless compute platform running on Kubernetes with hardened container isolation. This is a hands-on builder and architect role where 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.
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
About FriendliAI:
FriendliAI is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. The 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.
Requirements:
- 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
