GPU Infrastructure Engineer

TECEZE; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

TECEZE in Bengaluru, India, seeks an experienced Kubernetes/OpenShift GPU Infrastructure Engineer to design and implement GPU-enabled Kubernetes environments for high-performance AI/ML workloads.

You will plan clusters, deploy platforms (OpenShift or Mirantis), optimize GPU resource usage, and collaborate with platform teams to ensure reliability and scalability.

Qualifications

• 5+ years in Infrastructure / Platform Engineering.
• 3+ years of Kubernetes/OpenShift experience.
• Experience designing and deploying production-grade Kubernetes clusters.
• GPU cluster deployment and management experience.

Responsibilities

• Plan, design, and implement GPU Kubernetes clusters.
• Deploy and manage OpenShift, Mirantis, or other open-source Kubernetes platforms.
• Configure and optimize GPU resources for AI/ML and high-performance workloads.
• Manage containerized applications and cluster operations.
• Implement best practices around Kubernetes networking, storage, security, and scalability.
• Troubleshoot Kubernetes, Linux, networking, and GPU-related issues.
• Collaborate with infrastructure and platform engineering teams.

Skills

Kubernetes Administration

Kubernetes Architecture

Docker

Container Runtime Technologies

Tools

Red Hat OpenShift

Mirantis Kubernetes

Job description

We are looking for an experienced Kubernetes / OpenShift GPU Infrastructure Engineer to join a high-impact infrastructure project focused on designing and implementing GPU-enabled Kubernetes environments.

Key Responsibilities

• Plan, design, and implement GPU Kubernetes clusters
• Deploy and manage OpenShift, Mirantis, or other open-source Kubernetes platforms
• Configure and optimize GPU resources for AI/ML and high-performance workloads
• Manage containerized applications and cluster operations
• Implement best practices around Kubernetes networking, storage, security, and scalability
• Troubleshoot Kubernetes, Linux, networking, and GPU-related issues
• Collaborate with infrastructure and platform engineering teams

Required Skills

• Strong hands-on experience with Kubernetes Administration & Architecture
• Experience with Red Hat OpenShift and/or Mirantis Kubernetes
• GPU cluster deployment and management experience
• Docker / Container Runtime Technologies

Preferred Skills

• NVIDIA GPU ecosystem exposure
• Monitoring tools such as Prometheus, Grafana, Dynatrace, Datadog, or Zabbix
• Hybrid Cloud and Datacenter Infrastructure experience

Experience

• 5+ years in Infrastructure / Platform Engineering
• 3+ years of Kubernetes/OpenShift experience
• Experience designing and deploying production-grade Kubernetes clusters