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Software Engineer – Platform Security

FriendliAI

Skills

Required

  • IAM
  • Terraform
  • Helm
  • securing cloud-native platforms
  • distributed systems
  • multi-tenancy
  • AWS
  • VPC / networking
  • logging / monitoring
  • Kubernetes/container security
  • backend systems / cloud infrastructure / AI tooling

Preferred

  • detections
  • hardening
  • Knative
  • serverless-on-K8s
  • sandboxing
  • Policy-as-code
  • admission policy design
  • eBPF-based
  • observability
  • signal tuning

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.

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.

Requirements

  • 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

  • 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.