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TECEZE

GPU Infrastructure Engineer

TECEZE

India
Contract
Posted 3 days ago

Job Description & Responsibilities

🚀 Hiring: Kubernetes / OpenShift GPU Infrastructure Engineer | Bangalore | Contract

📍 Location: Bangalore (Onsite)

📅 Duration: 6 Months (Extendable)

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
  • Linux Administration
  • Docker / Container Runtime Technologies
  • Kubernetes Networking, Storage & Security
  • Infrastructure Automation (Ansible, Terraform, etc.)

Preferred Skills

  • NVIDIA GPU ecosystem exposure
  • AI/ML infrastructure experience
  • 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

📩 Interested candidates can share their updated CV along with

  • Total Experience
  • Relevant Kubernetes/OpenShift Experience
  • Current CTC
  • Expected CTC
  • Notice Period
  • Current Location

Email - hari.prasad@teceze.com

Required Skills

DockerKubernetesTerraformMachine Learning

Job Details

Employment TypeContract
Work ModeOn-Site
Experience510 years
Positions1

Posted by

N/A

Posted on:

15 Sept 2026

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