Software Engineer – Platform Security

    ~$130,025 - $241,475Market Estimate
    San Francisco
    Full-Time
    Mid (3-6 yrs)
    Engineering & Development
    Posted on October 21, 2026

    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.

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    Company:  FriendliAI

    AI inference cloud for deploying open-weight and custom models with speed, reliability, and cost efficiency.
    11-50 employees
    AI & Machine Learning
    HQ: United States