Platform Security Engineer for AI Infra Deployments

FriendliAI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

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

Job summary

FriendliAI is looking for a Forward Deployed Engineer (FDE) to assist enterprises in deploying and operating generative AI workloads. The role involves collaborating with customers to address AI inference challenges, manage Kubernetes workloads, and contribute to deployment strategies. Ideal candidates should have over 3 years of cloud infrastructure or DevOps experience, proficiency with crucial tools like Kubernetes and Docker, and a relevant degree. This position offers a competitive salary, flexible hours, and unique benefits including meals and health support.

Qualifications

• 3+ years of experience in cloud infrastructure, DevOps, or reliability engineering.
• Proficiency with Kubernetes, Docker, Terraform, and Helm.
• Strong problem-solving and debugging skills in real-world environments.

Responsibilities

• Design and implement large-scale deployment architectures for LLM and multimodal inference.
• Deploy and manage containerized workloads across Kubernetes clusters.
• Collaborate with customers’ DevOps teams to integrate FriendliAI’s infrastructure into their CI/CD workflows.

Skills

Cloud infrastructure

DevOps

Reliability engineering

Kubernetes

Docker

Terraform

Helm

Distributed systems

Networking

Performance tuning

Education

Bachelor's or Master's degree in a relevant field

Tools

Kubernetes

Docker

Terraform

Helm

AWS

GCP

OCI

Job description

FriendliAI is looking for a Forward Deployed Engineer (FDE) to assist enterprises in deploying and operating generative AI workloads. The role involves collaborating with customers to address AI inference challenges, manage Kubernetes workloads, and contribute to deployment strategies. Ideal candidates should have over 3 years of cloud infrastructure or DevOps experience, proficiency with crucial tools like Kubernetes and Docker, and a relevant degree. This position offers a competitive salary, flexible hours, and unique benefits including meals and health support.