Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.

• Work from Home.
• This is a full-time role. If you plan to do 2 or more jobs at the same time or want to do this part time, that won't work for us. In that case please do not apply as it will get auto-rejected
• Note - this job requires working late night India time until 4AM to overlap with USA working times. Do not apply if this timing doesn't work
• Salary depends on experience and current verifiable (paychecks) compensation.
• Junior candidates with 2 years experience are suitable

GPU Cluster & Kubernetes Engineer (Linux Infrastructure)

About Qubrid AIQubrid AI is building a full-stack AI infrastructure platform that combines GPU cloud, inference APIs, AI orchestration software, and enterprise AI infrastructure. Our platform powers AI workloads across cloud, hybrid, and on-prem environments using state-of-the-art NVIDIA technologies and open-source AI frameworks.





We are seeking a hands-on GPU Cluster & Kubernetes Engineer with deep Linux and Kubernetes expertise to deploy, manage, and optimize GPU clusters used for AI training and large-scale inference workloads.

Role OverviewAs a GPU Cluster & Kubernetes Engineer, you will be responsible for building and operating highly available Linux-based GPU clusters. You will work across Kubernetes, container platforms, networking, storage, and NVIDIA technologies to deliver reliable, scalable infrastructure for AI workloads. The ideal candidate enjoys troubleshooting complex distributed systems and automating infrastructure at scale.

Responsibilities• Deploy, configure, and maintain production Kubernetes clusters for AI and GPU workloads.
• Build and operate Linux-based GPU clusters supporting training and inference environments.
• Install and manage NVIDIA GPU Operator, drivers, CUDA, and container runtimes.
• Configure Kubernetes

📌 GPU Kubernetes Cluster Engineer (India)
🏢 Qubrid AI
📍 India