SECTION I · THE BRIEF
Brief #90327Updated 22 OCT 2026SEOULAshbySOFTWARE COMPANIES
Employbl Company Profile

Software Engineer – Platform Security

Software for Building and Serving Generative AI Models Simpler, Cheaper, and Faster

Location
Seoul
Company size
20–50
Posted
Today
Via
Ashby
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Headcount & which departments are hiringLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

No card · 2 minutes · the funding and stack behind this role

Software Engineer – Platform Security

FriendliAI· SeoulView company profile


Job title
Software Engineer – Platform Security
Job location
Seoul
Job description

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.

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