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# Senior Technical Lead

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $78,000.0 - $148,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Cloud Engineering, Nvidia CUDA, Distributed Systems, Routing, AI Infrastructure, Graphics Processing Unit (GPU), Autoscaling, Large Language Models, Kubernetes, Machine Learning Operations, Hardware Infrastructure, VLLM, KServe
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cdee6aada97ee35d

## About the Role

10+ yrs Cloud & Distributed Systems · 3+ yrs AI Infrastructure · Production GPU cluster experience, Must have
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 Skill

GPU,Kubernetes,Large Language Models (LLMs)

Good to Have Skill

Distributed Computing

Other Requirements

GPU Infrastructure - H100/H200, CUDA, MIG partitioning
LLM Serving Platforms - vLLM, KServe for model serving at scale
Distributed Systems Architecture - Scheduling, autoscaling, capacity & routing
SRE & Observability - SLA-based operations, performance engineering
Cloud-Native Foundation - Kubernetes & cloud-native architecture

## 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.