Software Engineer – Platform Security
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Before you apply
LocationSeoul
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
EquityIncluded
Company size51–200 people
PostedOct 21, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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, …)
Strong hands-on experience with Kubernetes/container security
Proficiency with Terraform
Proficiency with 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
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
Skills
Terraform
Helm
AWS
Kubernetes
Knative
eBPF
Benefits
Health insurance
Equity
Flexible hours
Meals provided
Snacks
Health checkup
Equipment stipend
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.
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Develop secrets and key management patterns.
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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.