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FriendliAI

Software Engineer – Platform Security

Seoul
Level
Mid
Work type
On-site · Seoul

Not stated in the posting: salary, visa.

Open. First seen 21 October 2026.

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About the role

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.
FriendliAI's standard text

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.

What this role asks for

Particular to this role

IAM · Serverless

Rare in FriendliAI's other 18 open postings.

Standard for security roles

AWS

Common in security postings at any company.

In most of FriendliAI's ads

Generative AI · Hugging Face · Kubernetes

Named in most of its open postings, whatever the role.

78% of this description is written for the role. The rest is FriendliAI's standard text, folded away below.

Compared with FriendliAI's other open jobs.

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