FriendliAI
Software Engineer – Platform Security
San Francisco · Hybrid · Full-time · Posted Oct 21, 2026
- Experience
- 5+ years; no stated alternatives.
- Education
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
About the job
Architects and builds security foundations for FriendliAI’s Kubernetes-based, multi-tenant serverless compute platform, covering its control and data planes.
What you'll do
- Design platform security architecture and implement guardrails as code using Terraform and Helm.
- Establish network segmentation, service-mesh policy, secrets and key management, runtime detections, and IAM/workload identity.
- Threat-model platform changes, support production debugging and post-incident hardening, and automate compliance evidence.
What they ask for
- 5+ years securing cloud-native platforms, focusing on distributed systems and multi-tenancy.
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
- Hands-on experience with AWS 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.
Nice to have
- Knative or similar serverless-on-K8s frameworks; container hardening and sandboxing.
- Policy-as-code, eBPF-based observability/detections, multi-cloud identity, or SOC 2 / HIPAA control automation.
Tools
AWS, Kubernetes, Terraform, Helm, Knative, eBPF
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