FriendliAI

Software Engineer – Platform Security

FriendliAI
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3 hours ago

Responsibilities

  • Design and implement 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 and workload identity management.
  • Threat model platform features and changes.
  • Debug production issues, lead post-incident hardening, and automate evidence for compliance controls.
  • Collaborate with Platform, SRE, Infrastructure, and engineering teams to deliver a secure-by-default developer experience.

Requirements

  • 5+ years of experience 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, including IAM, VPC/networking, and logging/monitoring, plus Kubernetes and container security.
  • Proficiency with Terraform and Helm.
  • Experience building or operating runtime detections for containers or functions.
  • Strong technical background in backend systems, cloud infrastructure, or AI tooling.
  • Clear written and verbal communication skills and the ability to translate pricing or business rules into robust systems.
  • Preferred experience with Knative or similar serverless-on-Kubernetes frameworks, container hardening and sandboxing, policy-as-code, admission policy design, eBPF, multi-cloud identity, and SOC 2/HIPAA control automation.

Benefits

  • Competitive compensation and benefits package.
  • Daily lunch and dinner provided, with unlimited snacks and beverages.
  • Health check-up and top-tier hardware support.
  • Flexible working hours and a highly collaborative environment.

Categories

FriendliAI

About FriendliAI

51-200 employees
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