Sr. Fullstack Developer Lead (NVIDIA & Kubernetes)

Job summary

Seeking an experienced Full-stack Development Lead with expertise in NVIDIA, Kubernetes, and AI Ops Deployment. The role involves leading the deployment, automation, and optimization of scalable AI/ML solutions across cloud and on-premise environments. This is an onsite position in Santa Clara, CA, requiring 10+ years of experience.

Qualifications

• Strong hands-on experience with Kubernetes and AI Ops development
• Expertise in NVIDIA GPU stack, CUDA, Tensor Rt, and Triton Inference Server
• Experience with AI infrastructure, GPU computing, and AI deployment pipelines
• Strong experience with Azure Cloud and/or Google Cloud Platform (GCP)
• Experience deploying GPU-enabled Kubernetes clusters in cloud and on-premise environments
• Strong knowledge of containerization technologies, including Docker and Helm
• Experience with CI/CD pipelines, DevOps practices, and infrastructure automation
• Strong understanding of Micro-services and Cloud-Native Applications
• Experience with Python scripting and automation
• Knowledge of MLOps frameworks and AI/ML infrastructure management
• Experience in performance optimization, troubleshooting, and distributed systems
• Strong understanding of scalable architecture and platform reliability
• Excellent technical leadership and collaboration skills
• Experience with large-scale AI/ML production environments
• Familiarity with Infrastructure as Code tools such as Terraform
• Experience with enterprise AI platform modernization initiatives
• Strong background in cloud-native architecture and automation

Responsibilities

• Design, deploy, and manage scalable Kubernetes-based AI infrastructure platforms
• Package and deploy AI/ML applications using Kubernetes and container technologies
• Create, test, and maintain Kubernetes clusters across cloud and on-premise environments
• Build and optimize GPU-enabled AI environments using NVIDIA technologies
• Collaborate with DevOps and engineering teams to implement AI deployment pipelines and cloud-native solutions
• Develop and maintain CI/CD pipelines for automated deployments and infrastructure provisioning
• Support AI Ops, MLOps, and cloud modernization initiatives
• Monitor, troubleshoot, and optimize distributed systems and platform performance
• Ensure scalable, secure, and high-performing AI infrastructure architectures

Skills

Contract length

Relocation