Friendliai
Software Engineer – Cloud Infrastructure
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- Remote · San Francisco
- 5+ yrs exp
- Added 1 month ago
About this role
FriendliAI is seeking a skilled Cloud Infrastructure Engineer to architect and evolve their Kubernetes cluster platform, critical for their GPU-accelerated AI inference cloud. This hands-on role focuses on optimizing cluster performance, networking, and reliability within a high-traffic, latency-sensitive environment. You'll be a key contributor to building a robust, scalable, and secure infrastructure for cutting-edge AI workloads.
What you'll do
- Architect multi-cluster Kubernetes infrastructure.
- Extend Kubernetes functionality with custom controllers and operators.
- Design GPU scheduling and capacity management strategies.
- Build and implement autoscaling solutions.
- Manage the Kubernetes network data plane (CNI, IPAM, DNS, load balancing).
- Troubleshoot and resolve production network issues.
What they're looking for
- Kubernetes
- Cloud Networking
- Terraform
- Helm
- Go/Python
- AWS
- CNI
- Service Mesh
Benefits
- Flexible working hours
- Daily lunch and dinner
- Supportive work environment
- Health check-up support
- Startup equity
- Health insurance
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Friendliai
- Industry
- Technology & Software
Likely interview questions
- Describe your experience designing and operating large-scale Kubernetes clusters in production.
- How would you approach optimizing Kubernetes for GPU-accelerated workloads with bursty traffic?