Senior Technical Lead
Resource Logistics, Inc.
Naperville, IL, United States
24 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$124,800.0 - $135,200.0
Working hours
Regular working hours
Job source
Tech stack
Cloud Computing
Cloud Engineering
Nvidia CUDA
Distributed Systems
Routing
AI Infrastructure
Autoscaling
Large Language Models
Kubernetes
Machine Learning Operations
Hardware Infrastructure
KServe
Job description
Design and operate large-scale AI infrastructure for model serving, GPU resource management, workload scheduling, autoscaling, and SLA-based operations - the platform backbone that inference and agentic workloads run on.
Requirements
- Kubernetes & Cloud-Native Architecture
- GPU Infrastructure (H100/H200, CUDA, MIG)
- LLM Serving Platforms (vLLM, KServe)
- GPU Scheduling & Resource Management
- Distributed Systems Architecture
- Autoscaling, Routing & Capacity Optimization
- SRE, Observability & Performance Engineering
Must Have Skills-
- Kubernetes
- Large Language Models (LLMs)
- GPU, * Cloud & Distributed Systems: 10 years (Required)
- AI Infrastructure: 3 years (Required)
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