
Software Engineer – Platform Security
FriendliAI · Seoul · Onsite
- Software & SaaS
- 11–50 employees
- San Francisco, California
Weak hiring record · median 197 days open
All reasons
- 83% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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 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
- Flexible working hours
- Daily lunch and dinner provided; unlimited snacks and beverages
- Supportive and highly collaborative work environment
- Health check-up support and top-tier equipment/hardware support
- A front-row seat to the generative AI infrastructure revolution
- Competitive compensation, startup equity, health insurance, and other benefits.
About FriendliAI
FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.
Skills
- Kubernetes
- Terraform
- Helm
- IAM
- AWS
- VPC
- Knative
- SOC 2
- HIPAA
- Generative AI
- Hugging Face
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