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Friendliai

Software Engineer – Platform Security

  • Confirmed live in the last 24 hours
  • No salary listed
  • Mid level
  • Full-time
  • Remote · San Francisco
  • 5+ yrs exp
  • Added today

About this 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 the 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

  • A front-row seat to the generative AI infrastructure revolution

  • Competitive compensation and benefits package

  • Daily lunch and dinner provided; unlimited snacks and beverages

  • Health check-up and top-tier hardware support

  • Flexible working hours and a highly collaborative environment

About us

FriendliAI is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face, providing instant access to over 600,000 open-source models. We are on a mission to deliver the world’s best platform for AI inference.

Written by Friendliai. Original job post

Skills mentioned

  • AWS
  • Backend
  • Kubernetes
  • Terraform
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Friendliai

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