Software Engineer – Platform Security
- Location
- San Francisco
- Work mode
- Hybrid
- Employment type
- Full-time
About the job
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.
From FriendliAI's careers page (Ashby), checked 30 Oct 2026.
How to apply
- Select Apply on friendli.ai. It opens FriendliAI's own application form in a new tab, run on Ashby.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- FriendliAI will reply to you directly. No real employer asks you for money to apply.
Posted 21 Oct 2026 · checked 30 Oct 2026 · Report this job