About the Role
You will design, deploy, and operate Kubernetes clusters across clouds and regions. You will operate LLM inference infrastructure, networking, GPU infrastructure and autoscaling, infrastructure as code, and observability systems including monitoring, alerting, tracing, and logging.
Requirements
•Kubernetes production experience at scale
•AWS
•Infrastructure as code using Pulumi, Terraform, or similar tools
•Linux networking
•Experience with high-traffic production ML systems
•Programming fluency in Python
Responsibilities
•Design, deploy, and operate Kubernetes clusters across regions and clouds
•Build and maintain infrastructure for global LLM inference workloads
•Own VPCs, peering, load balancing, DNS, service mesh, and CNI
•Manage GPU infrastructure and autoscaling for ML workloads
•Write and maintain infrastructure as code using Pulumi and Python
•Operate and improve monitoring, alerting, tracing, and logging
Benefits
•Equity
•100% covered health insurance
•Daily lunch and dinner
•Visa sponsorships
•401K plans
